1253 Annotation Jobs - Page 6

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. About the role: We are seeking a highly analytical and detail-oriented linguist to support AI training initiatives and linguistic content creation. This role is ideal for someone with a strong academic background in linguistics (syntax, semantics, pragmatics, morphology, phonology, sociolinguistics, etc.) and a passion for language, technology, and clear communication. You will play a crucial role in shaping the capabilities of large language models (LLMs) and NLP-based systems through high-quality linguistic data curation, annotation, and evaluation. Job Title: Linguistics Expert – AI Training & Content Writing(Hindi) Expected working hours: 25-30 hours per week Key Responsibilities: Create or edit linguistically- rich content including grammar guides, syntactic analyses, usage explanations, or examples for NLP pipelines. Identify and resolve issues related to ambiguity, bias, and grammaticality. Perform quality assurance (QA) on model outputs for fluency, tone, factual accuracy, and language appropriateness. Annotate linguistic datasets with syntactic, semantic, or pragmatic labels. Support internal teams by conducting linguistic research and summarizing findings. Apply linguistic knowledge to evaluate model behavior, error patterns, and generalization issues. Qualifications: Master’s or PhD in Linguistics, Applied Linguistics, Computational Linguistics,AI training or a related field. Deep understanding of linguistic theory and language structure. Experience with one or more of the following is a plus: computational linguistics, corpus analysis, language data annotation, LLM training. Strong writing, editing, and communication skills.

1. Senior Python Developer (AI/LLM Integration) Experience: 3–6 years Location: Remote (Freelancers welcome) Client: MultiGenesys Software Pvt Ltd. – Pune Website: www.multigenesys.com Mode of Interview: AI-driven Apply at: hr@multigenesys.com Subject Line: “Senior Python Developer / LLM Integration” Key Skills: Python, LLM Integration Roles & Responsibilities: Write effective, high-quality code to train and evaluate AI models. Extract insights from public datasets using solid analytical thinking. Express logic and decisions clearly in Jupyter notebooks or similar. Evaluate and rank AI model outputs across various computer science topics with well-reasoned feedback. Contribute to improving model response quality. Requirements: Bachelor's/Master’s in Engineering or Computer Science. Strong grasp of algorithms, data structures, and coding best practices. High proficiency in Python. Excellent critical thinking and communication skills. [Nice to Have] Prior experience in software QA or test planning. 2. Python Backend Engineer – Service Implementation Experience: 5–10 years Location: Remote (Freelancers welcome) Client: MultiGenesys Software Pvt Ltd. – Pune Website: www.multigenesys.com Mode of Interview: AI-driven Apply at: hr@multigenesys.com Subject Line: “Backend Engineer / Python TDD” Key Skills: Python, Test Driven Development (TDD), Production-Ready APIs Role Overview: We’re looking for experienced backend engineers to build real-world service APIs (e.g., Gmail, Jira) using a modular, test-driven approach. You'll work in a high-velocity environment that values clean code, scalable architecture, and engineering excellence. Responsibilities: Implement modular, production-ready APIs. Follow strict TDD practices — tests first, code second. Maintain excellent developer documentation. Build systems that scale rapidly without compromising reliability. Design and iterate robust, scalable database schemas. Requirements: 5+ years of hands-on experience with production-grade Python. Proficiency in TDD and clean architecture principles. Demonstrated experience scaling backend systems. Strong database schema design and data modeling expertise. Clear communication and ability to work independently at speed. Note: This is a software engineering role, not related to data science, annotation, or analytics. Interested? Send your updated resume with the appropriate subject line to the email listed for the specific role. We look forward to hearing from you.

Description What we are looking for: We are seeking a detail-oriented and analytical Content Analyst to join our Human-in-the-Loop (HITL) team. The role involves annotating and analyzing articles to improve content quality, enhance data accuracy, and ensure consistency in information processing. The ideal candidate will have a strong command of language, keen attention to detail, and the ability to interpret and categorize complex content effectively. Evaluation of key data to ensure that data on the news articles are What You'll Do: Content Review: Review and annotate articles with appropriate tags, classifications and metadata to maintain structured content. Content Strategy: Work closely with content teams and analysts to improve annotation frameworks and guidelines. Data Analysis: Accurate and the credibility of the publisher. ○ Ensure annotations align with predefined guidelines and maintain consistency across datasets. ○ Remain fully informed on primary search methodologies, and other parties' research and implement best practices. Quality Assurance: Identifying and correcting errors or inconsistencies in content. Content Organization: Managing and categorizing content to enhance usability and accessibility. What You'll Bring: Bachelor's degree in English, Communications, Journalism, Business, or a related field. Experience with annotation tools and content management systems is an advantage. Ability to interpret large amounts of data and multi-task. Strong communication, presentation skills and collaboration abilities. Ability to work efficiently in a fast-paced, detail-oriented environment. Strong analytical skills and attention to detail Exposure to HITL workflows and annotation processes. What We Offer: Enjoy flexible paid time off options for enhanced work-life balance. Comprehensive health insurance tailored for you. Employee assistance programs cover mental health, legal, financial, wellness, and behaviour areas to ensure your overall well-being. Complimentary CalmApp subscription for you and your loved ones, because mental wellness matters. Energetic work environment with a hybrid work style, providing the balance you need. Benefit from our family leave program, which grows with your tenure at Meltwater. Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career. Where You'll Work: Hitec city, Hyderabad. When You'll Join: As per the offer letter Our Story At Meltwater , we believe that when you have the right people in the right environment, great things happen. Our best-in-class technology empowers our 27,000 customers around the world to make better business decisions through data. But we can’t do that without our global team of developers, innovators, problem-solvers, and high-performers who embrace challenges and find new solutions for our customers. Our award-winning global culture drives everything we do and creates an environment where our employees can make an impact, learn every day, feel a sense of belonging, and celebrate each other’s successes along the way. We are innovators at the core who see the potential in people, ideas and technologies. Together, we challenge ourselves to go big, be bold, and build best-in-class solutions for our customers. We’re proud of our diverse team of 2,200+ employees in 50 locations across 25 countries around the world. No matter where you are, you’ll work with people who care about your success and get the support you need to unlock new heights in your career. We are Meltwater. Inspired by innovation, powered by people. Equal Employment Opportunity Statement Meltwater is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: At Meltwater, we are dedicated to fostering an inclusive and diverse workplace where every employee feels valued, respected, and empowered. We are committed to the principle of equal employment opportunity and strive to provide a work environment that is free from discrimination and harassment. All employment decisions at Meltwater are made based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, veteran status, or any other status protected by the applicable laws and regulations. Meltwater does not tolerate discrimination or harassment of any kind, and we actively promote a culture of respect, fairness, and inclusivity. We encourage applicants of all backgrounds, experiences, and abilities to apply and join us in our mission to drive innovation and make a positive impact in the world.

You will play an integral role in maintaining a safe and enjoyable atmosphere for social media users as an Associate at our Noida location. Your primary responsibility as a data annotator will be to identify, classify, categorize, annotate, and label predetermined user-submitted online or other content, while adhering to project guidelines and specifications. This data will be used in machine learning programs to drive process improvements. As an Associate, you must be prepared to evaluate large volumes of content, which may include spam, Not Safe for Work (NSFW) content, disturbing language, images, videos, and other data types. Given the evolving nature of projects, you should be willing to assist in other roles as needed. Ongoing training programs will be provided to support your development within the role. Your success will be measured by your ability to consistently meet or exceed predefined progress goals. You will be expected to review and understand content, ensure compliance with project procedures and guidelines, and maintain a high standard of accuracy and quality. Participation in debriefings, meetings to discuss edge cases, and adherence to corporate confidentiality policies are also key responsibilities. Qualifications for this role include proficiency in social media language and slang, familiarity with social media trends and popular culture references, particularly in the U.S. scene, and high levels of social and cultural awareness. Strong emotional intelligence, attention to detail, quick decision-making abilities, and a collaborative attitude are essential. You should also be resilient, adaptable, and flexible to meet changing deadlines and client requirements, with a bachelors degree being a must. Preferred qualifications include 1-2 years of experience in data labeling and annotation, an active social media presence, and excellent oral and written communication skills. A dedicated and private home workspace with reliable internet access is required to ensure confidentiality of sensitive content. This is a full-time, permanent position with benefits such as Provident Fund and a quarterly bonus. The work schedule is during day shifts, Monday to Friday. The job is located in person at our Noida office.,

Knowledge/Experience: Should have strong knowledge and hands on experience in JAVA (Version 1.8 or above) / J2EE / Spring boot / restful Web Services Expertise in Server less, tomcat (Embedded/Non-Embedded), jetty (Embedded/Non-Embedded), WebSphere Expertise in Spring Batch, Spring IOC, Spring Annotation, Spring Security Expertise in mocking, Junit and perf testing of solutions. Should possess basic Unix/Linux knowledge to be able to write and understand basic shell scripts and basic Unix commands Knowledge of Oracle (PL/SQL), NoSQL-Mongo, Rules Engine, Vaadin (UI Framework), Kotlin, Scala, Akka and BPMN Framework preferably JBPM is a plus. Should have working knowledge on in memory distributed caches like Hazelcast/Gemfire and ability to setup client/server distributed Cache cluster on Linux system will have preference Have basic experience in Data Preparation Tools Experience with CI/CD build pipelines and toolchain – Git, BitBucket, TeamCity, Artifactory, Jira Experience. Candidates with knowledge on webserver setup and configuration with reverse proxy/ssl setup etc (preferred nginx webserver) is a plus. Strong design skills on Java/J2EE based solutions with Oracle/Mongo backend Knowledge of in memory distributed caches (Hazelcast, Gemfire), JBPM as BPMN Framework, Docker, Kubernetes and OpenShift will have preference. Good to have skills: Financial markets background is preferable but is not a must Candidates with working knowledge on Docker / Kubernetes / OpenShift / Mesos is a plus. Knowledge of testing concepts (TDD, BDD) is a plus. Knowledge of ELK/App Dynamics Hands on in Data Frames, map reduce would be preferable. Experience on messaging platform like Kafka. Key Responsibilities: A seasoned SME and technical specialist in Client On boarding/AML/KYC/Account Opening domain Employ standards, frameworks and patterns while designing and developing components. Implement and maintain a suite of Workflow driven, Java application with RESTful services. Develop high quality code employing software engineering and testing best practices. Developing software that processes, persists and distributes data via relational and non-relational technologies Hands on coding, authoring unit tests/Junit, performance tests and maintaining high code quality. Needs to be able to react and provide quick turnaround to business requirements and management requests Well versed in Agile Development Life Cycle Partner with database developers to implement ingestion, orchestration, quality/reconciliation and distribution services Ability to work independently, good communication skills, has experience in working on complex and medium to large projects. Knowledge/Experience: Should have strong knowledge and hands on experience in JAVA (Version 1.8 or above) / J2EE / Spring boot / restful Web Services Expertise in Server less, tomcat (Embedded/Non-Embedded), jetty (Embedded/Non-Embedded), WebSphere Expertise in Spring Batch, Spring IOC, Spring Annotation, Spring Security Expertise in mocking, Junit and perf testing of solutions. Should possess basic Unix/Linux knowledge to be able to write and understand basic shell scripts and basic Unix commands Knowledge of Oracle (PL/SQL), NoSQL-Mongo, Rules Engine, Vaadin (UI Framework), Kotlin, Scala, Akka and BPMN Framework preferably JBPM is a plus. Should have working knowledge on in memory distributed caches like Hazelcast/Gemfire and ability to setup client/server distributed Cache cluster on Linux system will have preference Have basic experience in Data Preparation Tools Experience with CI/CD build pipelines and toolchain – Git, BitBucket, TeamCity, Artifactory, Jira Experience. Candidates with knowledge on webserver setup and configuration with reverse proxy/ssl setup etc (preferred nginx webserver) is a plus. Strong design skills on Java/J2EE based solutions with Oracle/Mongo backend Knowledge of in memory distributed caches (Hazelcast, Gemfire), JBPM as BPMN Framework, Docker, Kubernetes and OpenShift will have preference. Good to have skills: Financial markets background is preferable but is not a must Candidates with working knowledge on Docker / Kubernetes / OpenShift / Mesos is a plus. Knowledge of testing concepts (TDD, BDD) is a plus. Knowledge of ELK/App Dynamics Hands on in Data Frames, map reduce would be preferable. Experience on messaging platform like Kafka. Key Responsibilities: A seasoned SME and technical specialist in Client On boarding/AML/KYC/Account Opening domain Employ standards, frameworks and patterns while designing and developing components. Implement and maintain a suite of Workflow driven, Java application with RESTful services. Develop high quality code employing software engineering and testing best practices. Developing software that processes, persists and distributes data via relational and non-relational technologies Hands on coding, authoring unit tests/Junit, performance tests and maintaining high code quality. Needs to be able to react and provide quick turnaround to business requirements and management requests Well versed in Agile Development Life Cycle Partner with database developers to implement ingestion, orchestration, quality/reconciliation and distribution services Ability to work independently, good communication skills, has experience in working on complex and medium to large projects. Job Background: The position is based in India and is required to focus on delivery of the work, ensuring a robust design This role may report to the technology team lead based in Pune Candidate should be able to work independently and should be self-motivated Candidate might be required to work with vendors or third parties in joint delivery teams The role requires application of technical skills and knowledge of the business to develop solutions to meet business needs As part of large, geographically distributed team(s), the candidate may have to manage stakeholders across multiple functional areas The position requires analytical skills in order to filter, prioritize and validate potentially complex material, technical or business or otherwise, from multiple sources. The candidate will work with complex and variable issues with substantial potential impact, weighing various alternatives and balancing potentially conflicting needs Qualification: Bachelor’s degree (in science, computers, information technology or engineering) Candidate should be willing to work late in the evening India time on need basis in order to interact with US/other global teams ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

ABOUT KAROMI ManageArtworks (A flagship product brought to you by Karomi, a leading Enterprise SaaS provider) enables 4000 leading Global and Indian brands. We offer everything to get artwork projects going & manage every step of the packaging and artwork process. Companies reach markets faster with our end-end packaging & artwork management system while achieving 100% compliance. Location: Chennai (Full time – Onsite) Duration: 2 months This is a PAID INTERNSHIP OVERVIEW We are looking for a detail-oriented Packaging - Intern who will be working with our AI Team and will be responsible for performing quality assurance, providing feedback on annotation tools, and maintaining data privacy. KEY DELIVERABLES: • Manually annotate and label data items • Review and analyse data such as text, images, and videos • Ensure accuracy and consistency in data annotation • Collaborate with machine learning engineers and data scientists • Perform quality assurance to maintain data accuracy • Provide feedback on annotation tools and processes for improvement • Maintain confidentiality and adhere to data privacy guidelines PREFERRED QUALIFICATIONS: • Python Programming • Handling PDFs using PDFPlumber, PyPDF, PyMuPDF • Good understanding of data structures, algorithms, and time complexity analysis • Data handling, manipulation, visualization • Data Annotation Software: Labelbox, SuperAnnotate, Dataloop, V7

About Appen Appen is a leader in AI enablement for critical tasks such as model improvement, supervision, and evaluation. To do this we leverage our global crowd of over one million skilled contractors, speaking over 180 languages and dialects, representing 130 countries. In addition, we utilize the industry's most advanced AI-assisted data annotation platform to collect and label various types of data like images, text, speech, audio, and video. Our data is crucial for building and continuously improving the world's most innovative artificial intelligence systems and Appen is already trusted by the world's largest technology companies. Now with the explosion of interest in generative AI, Appen is helping leaders in automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. At Appen, we are purpose driven. Our fundamental role in AI is to ensure all models are helpful, honest, and harmless, so we firmly believe in unlocking the power of AI to build a better world. We have a learn-it-all culture that values perspective, growth, and innovation. We are customer-obsessed, action-oriented, and celebrate winning together. At Appen, we are committed to creating an inclusive and diverse workplace. We are an equal opportunity employer that does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Appen is seeking a highly skilled and motivated Senior Software Engineer (React) to join our dynamic team. In this role, you will leverage your deep expertise in front-end development to design and build scalable, high-performance web applications. You’ll play a key role in developing intuitive user interfaces that support the advancement of AI and machine learning technologies. Key Responsibilities: Design, develop, and maintain modular and reusable front-end components using React and TypeScript . Demonstrate strong proficiency in JavaScript (ES6+) , TypeScript , HTML5 , and CSS . Optimize front-end performance through techniques like code splitting , lazy loading , and structured rendering . Build applications with a focus on scalable and modular architecture . Work with modern front-end build tools and bundlers such as Webpack , Vite , and Babel . Implement advanced state management solutions using Redux , along with middleware such as Redux Thunk , Redux Saga , Zustand , or similar. Integrate and configure monitoring and analytics tools like Google Analytics. Write and maintain unit and integration tests using tools like Jest , React Testing Library , or Cypress . Solid understanding of Core Java , OOP (Object-Oriented Programming) principles, and knowledge of Spring Framework Preferred Skills (Nice to Have): Familiarity with Server-Side Rendering (SSR) or Static Site Generation (SSG) using frameworks such as Next.js . Understanding of web accessibility standards and responsive design principles . Appen is the global leader in data for the AI Lifecycle with more than 25 years’ experience in data sourcing, annotation, and model evaluation. Through our expertise, platform, and global crowd, we enable organizations to launch the world’s most innovative artificial intelligence products with speed and at scale. Appen maintains the industry’s most advanced AI-assisted data annotation platform and boasts a global crowd of more than 1 million contributors worldwide, speaking more than 235 languages. Our products and services make Appen a trusted partner to leaders in technology, automotive, finance, retail, healthcare, and government. Appen has customers and offices globally.

DESCRIPTION As a SA/VLM associate, you will be responsible for creating high-quality written content for videos/images and/or labeling of objects on audio, image, and/or video-file. Your primary focus will be on producing clear, concise, and informative content that meets the needs of the target audience. Key job responsibilities Performs simple annotation-related tasks in a narrow ML data process area (e.g. audio, image, and/or video-file). Uses internal tools and software provided by team. May participate in data collection activities when scripts and instructions are provided. Adheres to compliance and confidentiality requirements. Apply strong language skills, grammar knowledge, and linguistic rules to ensure the generated text adheres to proper grammar, syntax, and appropriate language usage. Maintaining high internal quality of the processes by performing quality audits/verification. Meets daily productivity and quality targets. Tracks queries related to annotation/data collection and share them with the relevant stakeholders to help solve them. Track daily task completion status using recommended tools and provide individual status reports. Adhere to confidentiality & compliance requirements to ensure zero risk to customer data and Amazon. Helps test new SOPs and ML data tools. Providing specific & timely feedback to streamline existing processes and help the team achieve more consistent results with high quality. Offering remedial instruction in tool usage and other topics as required. Requirements: Strong command of the English language, including grammar, syntax, and vocabulary. Background in linguistics, creative writing, computational linguistics, or a related field is preferred. Analytical mindset with the ability to evaluate and interpret data to improve the performance of the system. Good familiarity with the Windows desktop environment and uses of Word, Excel, IE, Firefox etc. are required Flexibility and Interest to do repetitive tasks is required. High level of energy and proactive nature. A sense of ownership and drive and a willingness to accept the challenge of daily deadlines is essential Attention to detail and ability to identify and rectify errors or inconsistencies in descriptions generated. Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment. Passion for language, technology, and AI advancements. Ability to meet deadlines, prioritize tasks, and manage multiple projects simultaneously. BASIC QUALIFICATIONS Bachelor's degree Speak, write, and read fluently in English Knowledge of Microsoft Office products and applications Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays Certification in any of the following: Content Writing, Creative Writing, English Literature, English, Literary Arts, Linguistics, English as a Second Language Teaching (preferred). PREFERRED QUALIFICATIONS Bachelor's degree in English, Journalism, Marketing, or a related field (preferred). Prior experience of 2-4 years and familiarity with US culture preferred; or experience in multicultural communication will be a plus. 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 details IND, TS, Hyderabad Ring, Blink, & Amazon Key Operations, IT, & Support Engineering

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 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 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 Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* 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. Job details IND, TS, Hyderabad Operations, IT, & Support Engineering

DESCRIPTION At Alexa Shopping, we strive to enable shopping in everyday life. We allow customers to instantly order whatever they need, by simply interacting with their Smart Devices such as Amazon Show, Spot, Echo, Dot or Tap. Our Services allow you to shop, no matter where you are or what you are doing, you can go from 'I want that' to 'that's on the way' in a matter of seconds. We are seeking the industry's best to help us create new ways to interact, search and shop. Join us, and you'll be taking part in changing the future of everyday life. We are seeking an experienced team manager to develop and manage our annotation and data analysis operations team. This team plays a critical role in improving Alexa’s natural language understanding (NLU) leading to improved CX quality metrics and positive business impact. The team manager must have a passion for data, efficiency, and accuracy. Key job responsibilities Manage day to day operations with a team of Data Associates, Sr.Associates and Data Specialists Manage work prioritization and delivery based on business needs Ensure high quality delivery under deadlines Plan capacity and commit to volume by managing resources, queue, shift management, cross training, and leave management Track weekly/monthly metrics and process reviews with internal and external stakeholders across time zones. Maximize productivity and process efficiency through process standardization, strong process documentation, supervision, analysis and performance feedback on a periodic basis Initiate and lead process improvement projects, presents solution proposals, and implement them to other applicable/in-scope operational areas Own team’s hiring, performance and development through performance metrics, training, feedback and coaching on an ongoing basis BASIC QUALIFICATIONS A Bachelor’s Degree with relevant experience of 6+ years with 2+ years of stakeholder management Excellent English (written & oral), strong organizational skills and detail oriented Strong analytical, problem-solving, and critical-thinking skills Comfortable working in a fast paced, highly collaborative, dynamic work environment Willingness to support several projects at one time, and to accept re-prioritization as necessary Demonstrated leadership with a bias towards action and ownership PREFERRED QUALIFICATIONS Six Sigma/Green Belt Certification Exposure to working with technology teams and solving operational issues 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 details IND, HR, Gurugram Operations, IT, & Support Engineering

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. Note: This is a Fixed Term Contractual Role 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+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. 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 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 Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* 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. Job details IND, TN, Chennai Operations, IT, & Support Engineering

About The Role The mission of the Global Scaled Solutions (GSS) team is to transform Uber's best ideas into agile, global solutions. The team is spread out globally between the US (San Francisco, Sunnyvale, Boulder), India (Hyderabad, Bangalore), HongKong, Singapore, and Amsterdam. The Global Scaled Solutions (GSS) is focused on delivering a range of capabilities/objectives to multiple Tech and business teams while maximizing value for Uber through solutions that are: Automated & Innovative Industry Leading Cross-organizational & Integrated At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world. We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward together. As a Program Manager with the AI and Data Solutions team, you will be responsible for running human in the loop (HITL) operations for ML/AI projects both internal to Uber and externally as part of Go external strategy. You will gather the requirements from stakeholders to convert it into a SOP (standard operating procedures), help hire the right talent and train the team to meet the quality and efficiency goals for the project. Run multiple pilots and help convert the pilots to scaled processes. ---- What You Will Do ---- Build strong relationships with cross-functional team members and work collaboratively with key stakeholders to deliver on the following: Operational Efficiency Identify gaps and risks to the organization and operational efficiencies. Create programs, processes, and policies to drive improvements. Monitor, evaluate, and continuously improve the organization by being a trusted advisor, facilitator, and creative problem solver. Implement continuous improvements to the organization and the program management process Execution Drive the execution of operational programs, projects, and initiatives. Handle issue escalations and proactively remove obstacles to drive momentum and progress Set and scale new pilot projects, write detailed SOPs for the vendor teams, identify process challenges along with tool improvements Financial and Headcount Management Ensure organizational spending aligns with budget and priorities Communication Lead the communications strategy for your programs. Ensure information flows clearly and efficiently to enable teams Build strong partnerships with Product, Engineering, and Data Science teams and represent GSS in cross-team meetings/reviews Insights Identify data based opportunities to improve process and customer experience ---- What You Will Need ---- Experience managing programs in 2D and 3D LiDAR annotations, object detection, semantic segmentation, polyline, and polygon annotation Ideate and drive programs aimed at driving efficiencies for GSS Facilitate and drive high-impact initiatives to improve process quality and the customer experience Collaborate with key stakeholders for scoping and prioritizing project activities based on the business impact and team OKRs Turn analyzed data into actionable deliverables for the product, support, and operational improvements Work with vendor teams to execute ideas and deliver continuous improvement of programs Interface with tech leads and engineers to estimate efforts, define milestones, track progress, resolve dependencies, evaluate risks and communicate status to project stakeholders Ability to work with engineer/product/ internal teams to deliver tool/tech solutions that will drive long term improvements in operational efficiency Communicate plans, insights, data, and results to project stakeholders Share frameworks, tools, best practices that improve the delivery of projects with focus on reusability and standardization Design experiments and interpret the results to draw detailed and actionable conclusions Present findings to senior management to guide business decisions Track, analyze, and report data patterns and trends associated with the programs you own Preferred Qualifications Worked at a high-paced, fast-growing tech startup, large tech company, or has a consulting background Analytics background. You have collected, structured and analyzed data to drive key insights

Location: Remote & Contractual Position Salary: Upto 2 Lac per month Experience: 5+ YoE This role is for high-caliber backend engineer with deep proficiency in Python and a proven track record of building large systems at speed. This role focuses on implementing real-world services (e.g., Gmail, Jira) as modular APIs using a test-driven approach, with an emphasis on engineering excellence, crisp documentation, and robust database design. Please note: this is a software engineering role, not one in data annotation, data science, or analytics. What Does Day-to-day Look Like Implementing real-world services as modular, production-ready APIs Creating and maintaining excellent, developer-friendly documentation Following a strict Test Driven Development approach — tests first, code second Building at maximum velocity without compromising on reliability or maintainability Designing and iterating on scalable database schemas for each service integration Requirements 5+ years of experience with practical, production-grade Python Hands-on experience with Test Driven Development (TDD) Proven ability to build and scale large systems at high velocity Strong fundamentals in database schema design and data modeling Able to work at a rapid pace without sacrificing clarity or correctness [Bonus] Familiarity with LLM function calling protocols and paradigms Perks Of Freelancing With AquSag Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.

Hiring a Python Code Reviewer for a 6-month remote contractual position The ideal candidate should have 4-8 years of experience in Python development, QA, or code review, with a strong grasp of Python syntax, edge cases, debugging, and testing The role involves reviewing annotator evaluations of AI-generated Python code to ensure quality, functional accuracy, and alignment with prompt instructions Experience with Docker, code execution tools, and structured QA workflows is mandatory Strong written communication skills and adherence to quality assurance guidelines (Project Atlas) are required Familiarity with LLM evaluation, RLHF pipelines, or annotation platforms is a plus Location : - Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote

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. Note: This a fixed term contractual role 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+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. 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 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 Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Comfortable with high-school level STEM* Strong understanding of U.S.-based culture, society, and norms 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: A3030679

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. Note: This is a Fixed Contractual Role 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+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. 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 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 Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* 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: A3030685

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. Note: This a fixed term contractual role 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+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. 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 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 Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale) Strong understanding of U.S.-based culture, society, and norms. Experience with creating complex data for LLM training and evaluation Comfortable with high-school level STEM* 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: A3030680

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. Note: This a fixed term contractual role 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+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. 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 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 Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Strong understanding of U.S.-based culture, society, and norms. Experience with creating complex data for LLM training and evaluation Comfortable with high-school level STEM* 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: A3030667

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. Note: This is a Fixed Term Contractual Role 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+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. 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 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 Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* 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: A3030687

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. Note: This is a Fixed Term Contractual Role 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+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. 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 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 Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* 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: A3030722

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. Note: This is a Fixed Term Contractual Role 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+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. 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 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 Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* 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: A3030690

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. Note: This is a Fixed Term Contractual Role 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+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. 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 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 Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* 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: A3030708

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. Note: This is a Fixed Term Contractual Role 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+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. 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 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 Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* 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: A3030716

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. Note: This is a Fixed Term Contractual Role 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+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. 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 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 Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Comfortable with high-school level STEM* Strong understanding of U.S.-based culture, society, and norms. 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: A3030727

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. Note: This is a Fixed Term Contractual Role 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+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. 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 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 Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* 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: A3030703