1283 Annotation Jobs - Page 40

- 2+ years of design experience - Have an available online portfolio - Experience working with a variety of design tools such as Photoshop, Illustrator, and InDesign The OPTIMA team is seeking an Instructional Designer. OPTIMA is a global team and enables Amazon to deliver a superior shopping experience to customers worldwide. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cuttingedge technology alongside our operational excellence. We enable shopping feature teams deliver superior CX quality by providing them reliable and comprehensive insights and ground truth data to measure and train ML (Machine Learning) models and handle annotation and Root Cause Analysis (RCA) across 10 different languages. The Instructional Designer will have an imaginative and creative mindset regarding the development of innovative and value-add learning content for curriculum/initiatives that impact strategic capabilities within the OPTIMA organization. The candidate must be driven, talented, comfortable and experienced with all elements of graphic, visual design, branding, animation, and video creation. In addition to strong graphic and media design skills, the candidate must have strong strategic and systems thinking, organizational skills, experience managing small and large projects, and acute attention to detail. They must have excellent communication, presentation, and interpersonal skills and the ability to present and defend their design decisions to leadership. HTML and CSS knowledge is a preferred qualification in order to support the creation of web-style pages as part of the team branding and communication strategy. Key job responsibilities Key job responsibilities • Design templates, graphic content, illustrations, infographics, animations, video and web-style pages within Amazon intranet tools and various other channels. • Manage graphic and media designs and multiple complex development projects from conception to delivery. • Work with and for various diversified requirements and audience may require multitasking capability. • Strong intrinsic design ability, typographic skills, attention to detail, and web expertise with the ability to manage multiple projects and handle large volumes of creative work. • Manage the work queue, handle end-to-end design processes, related tools and proactively engage managers and stakeholders when needed. • Conduct analysis to identify key tasks/skills to target in the curriculum and perform post implementation evaluation on key performance and business metrics. • Communicate and highlight the risks and trade-offs in a project. • Leverage technology to improve learner access and provide just in time learning. • Incorporate creative execution best practices to ensure high-volume designs are delivered in a timely manner. Knowledge of user-centered design methodologies, usability principles, web-based information architecture and design Experience working in a collaborative team and working directly with developers for implementation of designs Experience in storyboarding Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Job Description About Times Internet At Times Internet, we create premium digital products that simplify and enhance the lives of millions. As India’s largest digital products company, we have a significant presence across a wide range of categories, including News, Sports, Fintech, and Enterprise solutions.Our portfolio features market-leading and iconic brands such as TOI, ET, NBT, Cricbuzz, Times Prime, Times Card, Indiatimes, Whatshot, Abound, Willow TV, Techgig and Times Mobile among many more. Each of these products is crafted to enrich your experiences and bring you closer to your interests and aspirations. As an equal opportunity employer, Times Internet strongly promotes inclusivity and diversity. We are proud to have achieved overall gender pay parity in 2018, verified by an independent audit conducted by Aon Hewitt. We are driven by the excitement of new possibilities and are committed to bringing innovative products, ideas, and technologies to help people make the most of every day. Join us and take us to the next level! About The Business Unit (across Colombia) Colombia is a contextual AI-driven AdTech platform that revolutionizes digital advertising with cutting-edge technology. By utilizing advanced machine learning and AI, Colombia delivers highly targeted and personalized ad experiences, ensuring optimal engagement and performance. Our platform seamlessly integrates with publishers and advertisers, offering robust solutions for display, video, and native advertising. With over 650 million unique users monthly, Colombia leverages data-driven insights to provide unmatched reach and engagement. As part of India’s largest premium content network, we ensure high-quality user interaction and engagement. With over 15 billion recommendations per month & 650 Mn + unique users, we guarantee massive audience reach. Utilizing AI & ML models for lookalike audience creation, bid prediction, and contextual targeting, Colombia enhances campaign effectiveness and user engagement. Our AI-powered user segmentation and article annotation streamline processes, delivering more accurate and relevant user experiences. Experience the future of advertising with Colombia... About The Role We are looking for a skilled AdTech QA Specialist to support our operations across ad platforms, reporting pipelines, and performance dashboards. This is a versatile technical role involving API integrations, crawler development, and automation of reporting flows across platforms like Google Ad Manager (GAM), Google Ads, Google Analytics, and custom data sources. The ideal candidate is someone who can think like a developer and act like a problem-solver—comfortable writing python script that scales, automates, and simplifies recurring tasks across our ad operations and analytics processes. Key Responsibilities Develop Python scripts and tools for automating reports, monitoring KPIs, and fetching campaign data from various platforms. Write and maintain web crawlers to fetch information from web pages and ad delivery endpoints. Create data pipelines that process, store, and sync data with Google Sheets, BigQuery, Dashboards, and internal tools. Automate performance dashboards, blending data from multiple sources using APIs or Apps Script. Debug and resolve API errors or data discrepancies in reports. Implement scheduling and error-handling mechanisms for daily/weekly tasks using tools like cron, Airflow, or custom schedulers. Work closely with internal stakeholders to understand campaign KPIs and deliver automated insights. Skills & Requirements 1 + yrs of Strong programming skills in Python (mandatory). Proficiency in API integrations and handling REST, SOAP, or GraphQL APIs. Hands-on experience with data manipulation libraries and Google APIs (Sheets, Drive, Gmail). Familiarity with web scraping tools. Ability to write modular, reusable, and well-documented scripts. Strong troubleshooting skills and attention to detail. Bonus Skills Experience with Google Apps Script for spreadsheet and email automation. Exposure to SQL, BigQuery, or other cloud databases. Knowledge of cron jobs, Linux-based scripting, or CI/CD pipelines. Familiarity with ad tech KPIs: CPM, CTR, viewability, IVT, pacing, etc. Show more Show less

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ years of experience working with written language data, including experience with annotation, and other forms of data markup. Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale). Strong understanding of U.S.-based culture, society, and norms. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Comfortable with high-school level STEM* Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Experience with creating complex data for LLM training and evaluation 1+ year(s) of experience working with command line interfaces and basic UNIX commands Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 12 SEZ Job ID: A2973363 Show more Show less

8 years of SAP ABAP Development Experience Job Description As a Sr Software Engineer (SAP) in the Order-to-Cash (OTC) area we expect this developer to participate in project ABAP Build and development activities to support the successful business adoption of the new solution. Requires a strong understanding of Order-to-Cash principles and proven experience designing and delivering high-quality, clean core solutions through technical development to meet overall business requirements. Responsibilities: · Develop and maintain SAP solutions for Order-to-Cash processes including Order Management, Billing, Accounts Receivable, Collections, Credit Management, and Customer Master Data · Participate in the design and development of integrations between SAP and other systems related to OTC · Analyze and resolve issues related to order processing, billing, and customer invoicing Review Functional Specifications from the Functional and Product Teams and ensure they are complete and ready for technical design and development Provide work effort estimates work with the workstream leads to update ADO tool for reporting out RICEFW status and dates Suggest alternate technical designs in line with Clean Core best practices Complete all relevant Technical Specification documentation and support Functional teams during testing and bug-fixing Perform SAP ABAP Development activities in support of the business request to improve or add functionality to the existing SAP landscape specifically HANA/ABAP with an emphasis in Order-to-Cash. Perform code reviews based on S/4 HANA coding standards Work with the functional teams to support testing cycles like Functional Unit Test, Integration Testing and others Qualifications Technical Skills Experience as a Senior Developer with minimum of 8 combined years of hands-on core SAP ABAP development and SAP Fiori UI5 experience . Knowledge in various SAP modules and Integration development working on large-scale SAP S/4 implementation project Proficient with SAP HANA CDS View/OData Service development including usage of SQL and AMDP · Experience with standard oData Services for OTC, such as C_SalesOrder, C_SalesOrderItem · Experience with BAPIs relevant to OTC, such as BAPI_SALESORDER_CREATEFROMDAT2, BAPI_SALESORDER_CHANGE · Strong understanding and experience with standard CDS Views relevant to OTC, such as SO_ORDER_HEADER, SO_ORDER_ITEM, A_SO_ORDER_SLS Experience with S4/HANA migration initiatives and exposure to BTP integration/side-by-side RAP programming model is a plus. Has Participated in GAP analysis and technical design workshops with the functional teams Ability to complete High Level Technical Design and suggest best practices in line with Clean Core Principles Confirmed ability using BADI’s, BAPI’s, LSMW, ALE, RFC calls, IDOC, BDC, business objects, classes and methods, Adobe Forms, SmartForms, SAPScripts, Data Dictionary, ALV ABAP debugging skills, workflow experience S/4 HANA Development Experience Knowledge of OData development using CDS and AMDP, Workflow experience, including support and debugging Knowledge and awareness of SAP Clean Core principles including use of released API's, in app extensibility options and key user extensibility. Knowledge of 3-Tier extensibility model and SAP RAP (Restful ABAP) and CAP (Cloud Application) Programming Models Experience in migrating custom code base from ECC or SOH systems onto a S/4 HANA platform, applying both Technical remediation and Clean Core frameworks Implementation knowledge on Native SQL, ADBC, External View, ABAP Core data Services, AMDP Procedures, Text Search, ALV on HANA. Practical experience in creating custom and enhance standard CDS view and AMDP class based on business requirement, various available annotation in CDS views. Good knowledge on other new SAP technologies such as Fiori SAPUI5, SAP BTP Integration Suite, SAP Business Application Studio, SAP Build etc Other skills · Confirmed ability to be flexible and agile, both independently and in a team · Relevant SAP technical certification a plus · Practical Knowledge of Code Performance Rules and Guidelines for SAP HANA · Demonstrate excellent verbal and written communication skills · Possess interpersonal skills to engage and collaborate in a team environment. Nice to have · MDG Experience · Vistex Experience Show more Show less

Job title: R&D Data Modeling Manager Associate Location: Hyderabad Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference in patients’ daily lives, wherever they live and enabling them to enjoy a healthier life. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with a strong commitment to developing advanced data standards to increase reusability & interoperability and thus accelerate impact on global health. The R&D Data Office serves as a cornerstone of this effort. Our team is responsible for cross-R&D data strategy, governance, and management. We partner with Business and Digital and drive data needs across priority and transformative initiatives across R&D. Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain. As an integral team member, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more. You will also be pivotal in developing sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable). Position Summary The primary responsibility of this position is to support semantic integration and data harmonization across pharmaceutical R&D functions. In this role, you will design and implement ontologies and controlled vocabularies that enable interoperability of scientific, clinical, and operational data. Your work will be critical in accelerating discovery, improving data reuse, and enhancing insights across the drug development lifecycle. Main Responsibilities Develop, maintain, and govern ontologies and semantic models for key pharmaceutical domains, including preclinical, clinical, regulatory, and translational research Design and implement controlled vocabularies and taxonomies to standardize terminology across experimental data, clinical trials, biomarkers, compounds, and regulatory documentation Collaborate with cross-functional teams including chemists, biologists, pharmacologists, data scientists, and IT architects to align semantic models with scientific workflows and data standards Map internal data sources to public ontologies and standards to ensure FAIR (Findable, Accessible, Interoperable, Reusable) data principles Leverage semantic web technologies and ontology tools to build knowledge representation frameworks Participate in ontology alignment, reasoning, and validation processes to ensure quality and logical consistency Document semantic assets, relationships, and governance policies to support internal education and external compliance Deliverables Domain-specific ontologies representing concepts such as drug discovery (e.g., compounds, targets, assays), preclinical and clinical studies, biomarkers, adverse events, pharmacokinetics / dynamics, mechanisms of action, and disease models built using OWL/RDF and aligned with public standards Controlled vocabularies & taxonomies for experimental conditions, cell lines, compound classes, endpoints, clinical trial protocols, etc. Semantic data models supporting the integration of heterogeneous data sources (e.g., lab systems, clinical trial data, external databases) Knowledge graphs or knowledge maps for semantic integration of structured data from internal R&D systems Mappings to public ontologies, standards, and external knowledge bases like: CDISC, MedDRA, LOINC, UMLS, SNOMED CT, RxNorm, UniProt, DrugBank, PubChem, NCBI Ontology documentation & governance artifacts, including ontology scope, design rationale, versioning documentation, and usage guidelines for internal stakeholders Validation reports and consistency checks, including outputs from reasoners or SHACL validation to ensure logical coherence and change impact assessments when modifying existing ontologies Training and stakeholder support materials: slide decks, workshops, and tutorials on using ontologies in data annotation, integration, and search Support for application developers embedding semantic layers About You Experience: 5+ years of experience in ontology engineering, data management, data analysis, data architecture, or another related field Proven experience in ontology engineering, Proven experience in ontology development within the biomedical or pharmaceutical domain Experience working with biomedical ontologies and standards (e.g., GO, BAO, EFO, ChEBI, NCBI Taxonomy, NCI Thesaurus, etc.) Familiarity with controlled vocabulary curation and knowledge graph construction. Demonstrated ability to understand end-to-end data use and business needs Knowledge and/or experience of Pharma R&D or life sciences data and data domains. Understanding of FAIR data principles, data governance, and metadata management Strong analytical problem-solving skills. Demonstrated strong attention to detail, quality, time management and customer focus Excellent written and oral communication skills. Strong networking, influencing, and negotiating skills and superior problem-solving skills Demonstrated willingness to make decisions and to take responsibility for such. Excellent interpersonal skills (team player) Knowledge and experience in ontology engineering and maintenance are required. Knowledge and experience with OWL, RDF, SKOS, and SPARQL Familiarity with ontology engineering tools (e.g., Protégé, CENtree, TopBraid Composer PoolParty), Familiarity with ontology engineering methodologies (e.g., NeOn, METHONTOLOGY, Uschold and King, Grüninger and Fox, etc.) Knowledge and experience in data modeling are highly desired. Experience with pharma R&D platforms, requirements gathering, system design, and validation/quality/compliance requirements Experience with hierarchical data models from conceptualization to implementation, bachelor’s in computer science, Information Science, Knowledge Engineering, or related; Masters or higher preferred Languages: English null Show more Show less

We are hiring for data annotation for gurgaon location. Fresher and experience both can apply Graduate only Salary between: 20k ctc to 25k ctc Working days: 5 Shift timings: Rotational Call or whatsapp HR Rohit: 9643085825 Perks and benefits Both side cabs

We are hiring for data annotation for gurgaon location. Fresher and experience both can apply Graduate only Salary between: 20k ctc to 25k ctc Working days: 5 Shift timings: Rotational Call or whatsapp HR Riya: 9220492616 Perks and benefits Both side cabs

We are hiring for data annotation for gurgaon location. Fresher and experience both can apply Graduate only Salary between: 20k ctc to 25k ctc Working days: 5 Shift timings: Rotational Call or whatsapp HR Nainy: 9354475254 Perks and benefits Both side cabs

CTC 25,000 / experience 20,000 / fresher Incentive - Null Assessment :- Data Annotation assessment Operations Round Graduate only 5 Day working / Rotation shift / 2 day Rotation week off

Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video Our Founder/CEO, Gabe Greenberg, created an in-depth Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking JavaScript/React developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern JavaScript solutions. Solving coding problems and writing functional and efficient JavaScript/React code. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in JavaScript, React, and modern web development frameworks and libraries. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with JavaScript/React and frontend development. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice To Haves: Bachelor's or Master's degree in Computer Science. Experience with modern JavaScript frameworks and libraries (Next.js, Vue, Angular). Familiarity with frontend testing frameworks (Jest, React Testing Library, Cypress). Knowledge of state management solutions (Redux, Context API, MobX). Experience with TypeScript and modern frontend tooling. Recognized accomplishments or contributions to the coding community or in projects. Proven analytical skills with an ability to approach problems creatively. Adept communication skills, especially when understanding and discussing project requirements. A commitment to continuous learning and staying updated with the latest coding advancements and best practices. Enthusiasm for teaching AI models and experience with technical writing! If you're passionate about JavaScript, React, and the future of frontend development, this is an excellent opportunity to contribute to cutting-edge AI technology while leveraging your expertise!

Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video Our Founder/CEO, Gabe Greenberg, created an in-depth Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking JavaScript/React developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern JavaScript solutions. Solving coding problems and writing functional and efficient JavaScript/React code. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in JavaScript, React, and modern web development frameworks and libraries. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with JavaScript/React and frontend development. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice To Haves: Bachelor's or Master's degree in Computer Science. Experience with modern JavaScript frameworks and libraries (Next.js, Vue, Angular). Familiarity with frontend testing frameworks (Jest, React Testing Library, Cypress). Knowledge of state management solutions (Redux, Context API, MobX). Experience with TypeScript and modern frontend tooling. Recognized accomplishments or contributions to the coding community or in projects. Proven analytical skills with an ability to approach problems creatively. Adept communication skills, especially when understanding and discussing project requirements. A commitment to continuous learning and staying updated with the latest coding advancements and best practices. Enthusiasm for teaching AI models and experience with technical writing! If you're passionate about JavaScript, React, and the future of frontend development, this is an excellent opportunity to contribute to cutting-edge AI technology while leveraging your expertise!

Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video Our Founder/CEO, Gabe Greenberg, created an in-depth Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking JavaScript/React developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern JavaScript solutions. Solving coding problems and writing functional and efficient JavaScript/React code. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in JavaScript, React, and modern web development frameworks and libraries. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with JavaScript/React and frontend development. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice To Haves: Bachelor's or Master's degree in Computer Science. Experience with modern JavaScript frameworks and libraries (Next.js, Vue, Angular). Familiarity with frontend testing frameworks (Jest, React Testing Library, Cypress). Knowledge of state management solutions (Redux, Context API, MobX). Experience with TypeScript and modern frontend tooling. Recognized accomplishments or contributions to the coding community or in projects. Proven analytical skills with an ability to approach problems creatively. Adept communication skills, especially when understanding and discussing project requirements. A commitment to continuous learning and staying updated with the latest coding advancements and best practices. Enthusiasm for teaching AI models and experience with technical writing! If you're passionate about JavaScript, React, and the future of frontend development, this is an excellent opportunity to contribute to cutting-edge AI technology while leveraging your expertise!

Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video Our Founder/CEO, Gabe Greenberg, created an in-depth Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking JavaScript/React developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern JavaScript solutions. Solving coding problems and writing functional and efficient JavaScript/React code. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in JavaScript, React, and modern web development frameworks and libraries. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with JavaScript/React and frontend development. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice To Haves: Bachelor's or Master's degree in Computer Science. Experience with modern JavaScript frameworks and libraries (Next.js, Vue, Angular). Familiarity with frontend testing frameworks (Jest, React Testing Library, Cypress). Knowledge of state management solutions (Redux, Context API, MobX). Experience with TypeScript and modern frontend tooling. Recognized accomplishments or contributions to the coding community or in projects. Proven analytical skills with an ability to approach problems creatively. Adept communication skills, especially when understanding and discussing project requirements. A commitment to continuous learning and staying updated with the latest coding advancements and best practices. Enthusiasm for teaching AI models and experience with technical writing! If you're passionate about JavaScript, React, and the future of frontend development, this is an excellent opportunity to contribute to cutting-edge AI technology while leveraging your expertise!

Job Description- Artificial Intelligence Developer/AI Developer Company Profile : Capanicus provides services & support for VoIP, WebRTC, Web & smartphone applications Development for more than 16+yrs. We are a software development company committed to helping businesses build and improve their software products by using our expertise, time, and skills. Our team excels in software development, consulting, system integration, cloud, mobile apps, data analytics, QA, IT strategy, and digital transformation. Location : Mohali Experience: 1-6 years About the Role: We are looking for a highly skilled and motivated Artificial Intelligence Developer/AI Developer who has a strong foundation in backend technologies like Django, Flask, Fast API, and DRF , along with frontend development skills using React.js , Angular , Vue.js , or at least HTML/CSS/JavaScript . Key Responsibilities: Develop, train, validate, and deploy AI/ML models for real-world use cases. Collaborate with cross-functional teams to define and implement end-to-end AI systems . Design, develop, and maintain scalable APIs and microservices to expose ML models. Build and integrate user-friendly front-end interfaces to support AI-powered applications. Write clean, maintainable, and testable code for both client-side and server-side components. Implement MLOps practices including model versioning, CI/CD pipelines, monitoring, and logging. Conduct performance tuning, A/B testing, and model evaluation for continuous improvement. Stay updated with emerging technologies and best practices in AI and software engineering. Required Skills and Qualifications: Bachelor s/Master s degree in Computer Science, Artificial Intelligence, or related fields. 2-4 years of experience in AI/ML development using Python , TensorFlow , PyTorch , or similar. Strong understanding of data structures , algorithms , machine learning concepts , and model evaluation . Proficiency in backend frameworks like Django , Flask , or FastAPI . Solid front-end development skills with React , Angular , or Vue.js . or At least with HTML, CSS, JavaScript Experience with RESTful APIs , GraphQL , containerization (Docker/Kubernetes) , and cloud platforms (AWS, GCP, or Azure) . Familiarity with databases (SQL and NoSQL) and version control (Git). Knowledge of AI deployment pipelines , model serving , and monitoring tools . Preferred Skills: Experience with LLMs (e.g., GPT models, LangChain, Hugging Face Transformers) . Knowledge of data annotation tools , NLP , or Computer Vision . Exposure to CI/CD pipelines , MLOps tools (MLflow, Kubeflow). Contributions to open-source projects or AI hackathons are a plus. Soft Skills: Excellent problem-solving and analytical abilities. Strong communication and collaboration skills. Ability to take ownership and deliver in a fast-paced environment. Role: Full Stack Developer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education Job Type: Full-time Pay: ₹50,000.00 - ₹60,000.00 per month Benefits: Flexible schedule Leave encashment Schedule: Monday to Friday Supplemental Pay: Overtime pay Work Location: In person

Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video Our Founder/CEO, Gabe Greenberg, created an in-depth Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking JavaScript/React developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern JavaScript solutions. Solving coding problems and writing functional and efficient JavaScript/React code. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in JavaScript, React, and modern web development frameworks and libraries. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with JavaScript/React and frontend development. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice To Haves: Bachelor's or Master's degree in Computer Science. Experience with modern JavaScript frameworks and libraries (Next.js, Vue, Angular). Familiarity with frontend testing frameworks (Jest, React Testing Library, Cypress). Knowledge of state management solutions (Redux, Context API, MobX). Experience with TypeScript and modern frontend tooling. Recognized accomplishments or contributions to the coding community or in projects. Proven analytical skills with an ability to approach problems creatively. Adept communication skills, especially when understanding and discussing project requirements. A commitment to continuous learning and staying updated with the latest coding advancements and best practices. Enthusiasm for teaching AI models and experience with technical writing! If you're passionate about JavaScript, React, and the future of frontend development, this is an excellent opportunity to contribute to cutting-edge AI technology while leveraging your expertise!

Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video Our Founder/CEO, Gabe Greenberg, created an in-depth Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking JavaScript/React developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern JavaScript solutions. Solving coding problems and writing functional and efficient JavaScript/React code. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in JavaScript, React, and modern web development frameworks and libraries. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with JavaScript/React and frontend development. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice To Haves: Bachelor's or Master's degree in Computer Science. Experience with modern JavaScript frameworks and libraries (Next.js, Vue, Angular). Familiarity with frontend testing frameworks (Jest, React Testing Library, Cypress). Knowledge of state management solutions (Redux, Context API, MobX). Experience with TypeScript and modern frontend tooling. Recognized accomplishments or contributions to the coding community or in projects. Proven analytical skills with an ability to approach problems creatively. Adept communication skills, especially when understanding and discussing project requirements. A commitment to continuous learning and staying updated with the latest coding advancements and best practices. Enthusiasm for teaching AI models and experience with technical writing! If you're passionate about JavaScript, React, and the future of frontend development, this is an excellent opportunity to contribute to cutting-edge AI technology while leveraging your expertise!

Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video Our Founder/CEO, Gabe Greenberg, created an in-depth Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking JavaScript/React developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern JavaScript solutions. Solving coding problems and writing functional and efficient JavaScript/React code. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in JavaScript, React, and modern web development frameworks and libraries. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with JavaScript/React and frontend development. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice To Haves: Bachelor's or Master's degree in Computer Science. Experience with modern JavaScript frameworks and libraries (Next.js, Vue, Angular). Familiarity with frontend testing frameworks (Jest, React Testing Library, Cypress). Knowledge of state management solutions (Redux, Context API, MobX). Experience with TypeScript and modern frontend tooling. Recognized accomplishments or contributions to the coding community or in projects. Proven analytical skills with an ability to approach problems creatively. Adept communication skills, especially when understanding and discussing project requirements. A commitment to continuous learning and staying updated with the latest coding advancements and best practices. Enthusiasm for teaching AI models and experience with technical writing! If you're passionate about JavaScript, React, and the future of frontend development, this is an excellent opportunity to contribute to cutting-edge AI technology while leveraging your expertise!

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale). Strong understanding of U.S.-based culture, society, and norms. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Comfortable with high-school level STEM* Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Experience with creating complex data for LLM training and evaluation 1+ year(s) of experience working with command line interfaces and basic UNIX commands Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A2973326 Show more Show less

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale). Strong understanding of U.S.-based culture, society, and norms. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Comfortable with high-school level STEM* Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Experience with creating complex data for LLM training and evaluation 1+ year(s) of experience working with command line interfaces and basic UNIX commands Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A2973325 Show more Show less

Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video Our Founder/CEO, Gabe Greenberg, created an in-depth Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking JavaScript/React developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern JavaScript solutions. Solving coding problems and writing functional and efficient JavaScript/React code. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in JavaScript, React, and modern web development frameworks and libraries. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with JavaScript/React and frontend development. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice To Haves: Bachelor's or Master's degree in Computer Science. Experience with modern JavaScript frameworks and libraries (Next.js, Vue, Angular). Familiarity with frontend testing frameworks (Jest, React Testing Library, Cypress). Knowledge of state management solutions (Redux, Context API, MobX). Experience with TypeScript and modern frontend tooling. Recognized accomplishments or contributions to the coding community or in projects. Proven analytical skills with an ability to approach problems creatively. Adept communication skills, especially when understanding and discussing project requirements. A commitment to continuous learning and staying updated with the latest coding advancements and best practices. Enthusiasm for teaching AI models and experience with technical writing! If you're passionate about JavaScript, React, and the future of frontend development, this is an excellent opportunity to contribute to cutting-edge AI technology while leveraging your expertise!

Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video Our Founder/CEO, Gabe Greenberg, created an in-depth Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking JavaScript/React developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern JavaScript solutions. Solving coding problems and writing functional and efficient JavaScript/React code. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in JavaScript, React, and modern web development frameworks and libraries. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with JavaScript/React and frontend development. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice To Haves: Bachelor's or Master's degree in Computer Science. Experience with modern JavaScript frameworks and libraries (Next.js, Vue, Angular). Familiarity with frontend testing frameworks (Jest, React Testing Library, Cypress). Knowledge of state management solutions (Redux, Context API, MobX). Experience with TypeScript and modern frontend tooling. Recognized accomplishments or contributions to the coding community or in projects. Proven analytical skills with an ability to approach problems creatively. Adept communication skills, especially when understanding and discussing project requirements. A commitment to continuous learning and staying updated with the latest coding advancements and best practices. Enthusiasm for teaching AI models and experience with technical writing! If you're passionate about JavaScript, React, and the future of frontend development, this is an excellent opportunity to contribute to cutting-edge AI technology while leveraging your expertise!

Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video Our Founder/CEO, Gabe Greenberg, created an in-depth Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking JavaScript/React developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern JavaScript solutions. Solving coding problems and writing functional and efficient JavaScript/React code. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in JavaScript, React, and modern web development frameworks and libraries. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with JavaScript/React and frontend development. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice To Haves: Bachelor's or Master's degree in Computer Science. Experience with modern JavaScript frameworks and libraries (Next.js, Vue, Angular). Familiarity with frontend testing frameworks (Jest, React Testing Library, Cypress). Knowledge of state management solutions (Redux, Context API, MobX). Experience with TypeScript and modern frontend tooling. Recognized accomplishments or contributions to the coding community or in projects. Proven analytical skills with an ability to approach problems creatively. Adept communication skills, especially when understanding and discussing project requirements. A commitment to continuous learning and staying updated with the latest coding advancements and best practices. Enthusiasm for teaching AI models and experience with technical writing! If you're passionate about JavaScript, React, and the future of frontend development, this is an excellent opportunity to contribute to cutting-edge AI technology while leveraging your expertise!

Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video Our Founder/CEO, Gabe Greenberg, created an in-depth Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking JavaScript/React developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern JavaScript solutions. Solving coding problems and writing functional and efficient JavaScript/React code. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in JavaScript, React, and modern web development frameworks and libraries. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with JavaScript/React and frontend development. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice To Haves: Bachelor's or Master's degree in Computer Science. Experience with modern JavaScript frameworks and libraries (Next.js, Vue, Angular). Familiarity with frontend testing frameworks (Jest, React Testing Library, Cypress). Knowledge of state management solutions (Redux, Context API, MobX). Experience with TypeScript and modern frontend tooling. Recognized accomplishments or contributions to the coding community or in projects. Proven analytical skills with an ability to approach problems creatively. Adept communication skills, especially when understanding and discussing project requirements. A commitment to continuous learning and staying updated with the latest coding advancements and best practices. Enthusiasm for teaching AI models and experience with technical writing! If you're passionate about JavaScript, React, and the future of frontend development, this is an excellent opportunity to contribute to cutting-edge AI technology while leveraging your expertise!

Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video Our Founder/CEO, Gabe Greenberg, created an in-depth Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking JavaScript/React developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern JavaScript solutions. Solving coding problems and writing functional and efficient JavaScript/React code. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in JavaScript, React, and modern web development frameworks and libraries. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with JavaScript/React and frontend development. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice To Haves: Bachelor's or Master's degree in Computer Science. Experience with modern JavaScript frameworks and libraries (Next.js, Vue, Angular). Familiarity with frontend testing frameworks (Jest, React Testing Library, Cypress). Knowledge of state management solutions (Redux, Context API, MobX). Experience with TypeScript and modern frontend tooling. Recognized accomplishments or contributions to the coding community or in projects. Proven analytical skills with an ability to approach problems creatively. Adept communication skills, especially when understanding and discussing project requirements. A commitment to continuous learning and staying updated with the latest coding advancements and best practices. Enthusiasm for teaching AI models and experience with technical writing! If you're passionate about JavaScript, React, and the future of frontend development, this is an excellent opportunity to contribute to cutting-edge AI technology while leveraging your expertise!

Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video Our Founder/CEO, Gabe Greenberg, created an in-depth Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking JavaScript/React developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern JavaScript solutions. Solving coding problems and writing functional and efficient JavaScript/React code. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in JavaScript, React, and modern web development frameworks and libraries. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with JavaScript/React and frontend development. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice To Haves: Bachelor's or Master's degree in Computer Science. Experience with modern JavaScript frameworks and libraries (Next.js, Vue, Angular). Familiarity with frontend testing frameworks (Jest, React Testing Library, Cypress). Knowledge of state management solutions (Redux, Context API, MobX). Experience with TypeScript and modern frontend tooling. Recognized accomplishments or contributions to the coding community or in projects. Proven analytical skills with an ability to approach problems creatively. Adept communication skills, especially when understanding and discussing project requirements. A commitment to continuous learning and staying updated with the latest coding advancements and best practices. Enthusiasm for teaching AI models and experience with technical writing! If you're passionate about JavaScript, React, and the future of frontend development, this is an excellent opportunity to contribute to cutting-edge AI technology while leveraging your expertise!