1283 Annotation Jobs - Page 9

Job Title: AI/ML Engineer Location: Baner, Pune Company: Muks Robotics AI Pvt. Ltd. Experience: 1- 3+ years Employment Type: Full-time Position - 2 About Us At Muks Robotics AI Pvt. Ltd. , we are at the forefront of AI-driven robotics innovation. Our mission is to integrate Artificial Intelligence and Machine Learning into robotics solutions that transform industries and improve lives. We’re looking for a talented and passionate Senior AI/ML Engineer to join our growing team and help build intelligent systems that shape the future. Roles & Responsibilities: Design, develop, and implement cutting-edge machine learning and deep learning models for robotics and automation. Collaborate with cross-functional teams (Robotics, Embedded, Software) to integrate AI models into real-time robotic systems. Lead end-to-end AI/ML project lifecycles – from data collection, preprocessing, model training, evaluation, and deployment. Optimize models for performance and real-time inference on edge devices. Research and implement novel algorithms and techniques from recent AI/ML publications. Mentor junior engineers and contribute to team knowledge-sharing sessions. Monitor and maintain deployed models, ensuring robustness and accuracy over time. Required Skills: Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Strong understanding of machine learning, deep learning (CNNs, RNNs, Transformers), and computer vision. Hands-on experience with AI model deployment (TensorRT, ONNX, Docker, etc.). Experience with data pipelines, data augmentation, and annotation tools. Good knowledge of algorithms, data structures, and system design. Familiarity with ROS (Robot Operating System), edge computing, or real-time inference is a strong plus. Qualifications: Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, Robotics, or related fields. Minimum 2 years of relevant industry experience in AI/ML with successful project deliveries. Publications in top AI/ML conferences (optional but desirable). Why Join Us? Work on cutting-edge robotics AI applications. Collaborative and research-oriented culture. Fast-paced, innovation-driven startup environment. Opportunities to lead and grow with the company.

We're Hiring: Python Code Reviewer (Remote | ₹35K–40K/month) Role : Python Code Reviewer Type : Part-Time (3 Months) Location : Remote Timings : Flexible (based on workload) Notice Period : Immediate Joiners Only Pay : ₹35,000 – ₹40,000 per month Start Date : Within 2–3 days About the Role : We're looking for an experienced Python Developer to join as a Code Reviewer for a high-impact AI project. You'll evaluate assessments made by data annotators on AI-generated Python code — ensuring high-quality standards, correctness, and adherence to given instructions. Responsibilities Review annotations on Python code for correctness, instruction-following, and edge cases Provide constructive feedback to annotators Run and validate code using test environments (proof-of-work approach) Ensure evaluation consistency as per Project Atlas guidelines Requirements 4–5 years of solid experience in Python development or QA Mandatory: Basic Docker proficiency Experience with code testing/debugging Strong written communication English proficiency (B2+) Bonus Skills Familiarity with AI training / LLM evaluation / RLHF Experience with annotation platforms Skills in Angular, TypeScript, or JavaScript Interview Process Round 1: Python Code Review Round 2: Technical Assessment (Client-led) 📩 Interested? Send us your CV with the subject "Python Code Reviewer " DM directly here on LinkedIn. Note : This is a fast-moving project. Profiles will be reviewed on a rolling basis.

Description Program Manager to lead one of the verticals within the GO-AI Operations Support Center (OSC). This role oversees a team of 300+ OSC experts, driving excellence in Standard Operating Procedures (SOPs), audit frameworks, and annotation quality to support AI/ML models. Key job responsibilities Strategic Leadership Lead program and change management initiatives for OSC operations Develop and implement strategies to enhance SOP management, training, and audit processes Drive SLA metrics for accuracy, program onboarding, and customer experience Program Management Evaluate and prioritize new annotation program requests based on risk analysis Design and implement robust sampling methodologies for various audit types Monitor OSC program health through KPI tracking and improvement initiatives Generate insights for process automation and Gen-AI implementation Stakeholder Management Partner with internal/external stakeholders on SOPs, audits, and training processes Present findings and recommendations to senior leadership Manage executive customer relationships and key business stakeholders Team Leadership Lead and develop a high-performing team of 300+ professionals Drive continuous improvement and innovation in OSC processes Implement training initiatives for team upskilling About The Team The GO-AI team provides augmented learning in the Machine Learning pipeline for Amazon Robotic Fulfillment Centers globally. We deliver Near Real Time-Human in the Loop (NRT-HITL) solutions requiring high cognitive ability through annotation workforce management and specialized central teams, supporting programs like Nike, CPEX, ADAR, and other Fulfillment Technology initiatives. Basic Qualifications MBA PMP certificate 7+ years of team management experience 7+ years of program or project management experience Experience defining program requirements and using data and metrics to determine improvements 10 + Experience in annotations, training, audits, or operations Preferred Qualifications Previous experience leading teams that provide annotations for AI/ML Previous experience of working in ACES/Training/ICQA in Amazon Fulfillment Centers Previos experience leading Quality Assurance teams 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 - Amazon Dev Center India - Hyderabad Job ID: A2962744

Job Description We are seeking a detail-oriented data annotator to join the Oracle Analytics team. As a member of our data operations team you will be responsible for creating and annotating natural language and structured data to facilitate the development of new AI solutions for Oracle's Analytics product portfolio. You will work with applied science and data science teams to design and evaluate new AI capabilities, test systems ahead of deployment, and support customers with implementing and customizing AI solutions for industry verticals or specific use cases. The ideal candidate will have in-depth familiarity with Oracle's analytics products (Fusion Data Intelligence, Oracle Analytics Cloud), SQL, Python, and data visualization, as well as experience in subject matter areas related to ERP, Finance, Supply Chain Management, or Human Capital Management. Knowledge of data collection management practices, quality control processes is a strong plus. Responsibilities Key Responsibilities: Collaborate with applied scientists and product managers to gather data requirements. Help develop and improve data annotation guidelines and quality control mechanisms. Produce and deliver data meeting predefined quality targets and timelines. Help test and evaluate AI solutions. Partner with customers and solution architects to improve usability of AI products. Required Qualifications: Bachelor's degree in Business Administration, Information Systems, Data Science, Linguistics, or a related field. 2-3 years of industry experience in data operations, data annotation, business analytics, or a related role. Experience with Oracle Analytics tools and dashboards, SQL, and general task management tools (e.g., Jira). Excellent communication and collaboration abilities. Attention to detail, sense of ownership, and customer-focused mindset. Software engineering skills (SQL, Python). Preferred Qualifications: Knowledge of machine learning concepts and how annotated data supports model development. Previous experience with large-scale data collection/annotation and data quality control processes. Qualifications Career Level - IC2 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Job Description- Customer Success Manager As an iMerit CS Manager you will be a part of a small, yet mighty team of solutions focused individuals, who are tasked with making sure our clients are thriving. Part sales, project manager, problem solver and relationship manager, you will work to establish, retain and grow accounts through close collaboration with clients, Solutions Architects, and our India based Project Delivery team. You will be integral to building strong and repeatable business processes while being a relentless promoter for improvement and excellence. In addition to being the primary owner of client health, the CS Manager will “farm” existing business, navigating various client teams to help grow the accounts. They will also ensure fulfillment of the statement(s) of work and in accordance with the Key Performance Indicators (KPIs) established, as well as regular reporting against these KPIs. Working closely with the Delivery Project Manager, the CS Manager will be hands-on within accounts and the projects within them, with a proactive approach to risk management and process improvement. This is a role for self-directed learners, creative thinkers, and workplace chameleons. You will need to be adaptive, curious and resourceful and enjoy working in new and challenging situations. Our Core Values Integrity: Bring fairness and honesty to everything we do; being ethical without fail, and without hesitation, in every situation Respect: Actively listen to all of our stakeholders. Treat everyone fairly and respectfully. Encourage people to learn, share, grow. Commitment: Commit ourselves to striving for quality in everything we do, at all times. Measure ourselves always, recalibrate often. Dependability: Deliver consistently on our commitments to company, colleagues and clients. Be trustworthy and resilient, even in chaotic times. Flexibility: Remain open to new ideas. Operate with the understanding that with each day comes a better, smarter, faster way of working. Impact: Create positive social and economic change throughout our communities, by always illuminating the opportunities that exist. What you'll do: Works to identify new opportunities with clients while increasing revenue and margins for projects. Works directly with clients to upsell or cross-sell. Initiates project setup together with Solutions Architects and Delivery Project Managers as it relates to staffing, reporting, deliverables, and general project tracking. Primary point of contact for customers within a dedicated portfolio for account-level matters (e.g. overall relationship, matters related to business terms including billing, project structure, etc.) Design and implement internal and client facing project related reports and reporting structures using tools like Google Studio, Microsoft BI. Facilitates communications with Delivery PM and/or wider delivery team as warranted for project and/or client wishes. Primary conduit between accounts and any other teams/individuals that need to be brought in (Solution Architect, Sales, Engineering, Finance, etc.) Manages maintenance and/or modification of project guidelines as needed. Works with Solutions Architect in the event major modification to a project is required. Conducts regular business reviews and customer workshops including goal setting for the following quarter. Advises clients on industry best practices, key learnings, observations about their workflow and opportunities for efficiency gains in their workflow. What you'll bring to the table: Minimum 6+ years’ experience and success working in a customer-facing role such as account management, project management or customer success dealing with upper management and C Level executives Experience working interculturally and in a globally distributed team. Interest in and availability to travel (India + US) (20% travel). Self-directed learner and hands-on problem solver. Strong analytical capabilities with experience manipulating complex data that results in presenting insights and information that drive results. Demonstrated experience in establishing and refining processes at scale. Experience working remote Ideal Candidate Traits/Experience: Prior work history with outsourcing/annotation science/vendor management. Prior experience working within computer vision or NLP related fields is a plus. Moderate to advanced Excel knowledge. Familiarity working with various data file formats (xls, csv, JSON, xml, jpg, etc). Basic knowledge of SQL and other databases

- 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 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. 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.

About the Company A fast-growing AI company is building systems that use large language models (LLMs) to automate key parts of the hiring process — from resume screening to interviewing and final decision-making. Already used by top-tier AI labs , the company has reached a $100 million revenue run rate and is growing 59% month-over-month , backed by a lean team and strong profitability. About the Role The Applied AI Engineer will work across machine learning, product engineering, and customer operations. This role is ideal for someone who combines technical depth with a strong product mindset , and thrives in fast feedback loops . Key Responsibilities Convert raw datasets into clean, structured signals ready for model training Design product features and infrastructure based on real-time user and ops feedback Build internal tools and prototypes that help users extract value from the platform Collaborate closely with engineering, operations, and ML teams Participate in rapid experimentation , shipping iterative improvements frequently What We’re Looking For Experience at a startup or as a founder Proficient in React , Next.js , and Python Strong understanding of SQL and NoSQL schema design Familiarity with Airflow or similar orchestration/ETL tools Experience deploying LLMs or ML models in production, including evaluation pipelines Background in systems integration (CRMs, ATSs, data warehouses, etc.) Interest in evaluation frameworks , benchmarks, or annotation tools Detail-oriented with a passion for continuous learning Compensation Details Base Salary : $40,000 to $100,000 USD annually Bonus : Up to 40% of base, linked to individual and company performance

About Augtech NextWealth: Our offering is in the field of Information Technology and Information Technology Enabled Services. We are a social impact organization providing world class Generative AI, Computer Vision, Trust & Safety and Cataloguing services. We are a part of NextWealth Entrepreneurs, we are committed to provide opportunity to talents in Tier -2, Tier -3 ecosystem As an organization we are driven by values like Integrity, Excellence, Respect, Commitment and Social Responsibility. Role & Responsibilities: ● Annotation & Labelling: Classify user queries into predefined intent categories as per the Coarse Intent SOP. Annotate standalone queries for intent preservation, grammar, and contextual accuracy using SAQ guidelines. Label product-query pairs for relevance as per Validator SOP, ensuring search result quality. ● Evaluation & QA: Ensure consistency, clarity, and accuracy in all labelling and annotation tasks. Validate outputs for prohibited content like competitor brand names or policy violations. ● Reporting & Collaboration: Work closely with team leads to enhanced SOP interpretation and workflow quality. Required Skills and Qualifications: ● Bachelor’s degree in any discipline (preferably English, Linguistics, Communications, or Computer Science). ● Excellent written English and reading comprehension skills. ● Strong attention to detail and ability to follow detailed SOPs. ● Familiarity with basic Excel/Google Sheets and productivity tools. ● Must be logical thinker. Contact : 7880006825/sanjeet.sikdar@augnw.com Website: www.augnw.com

Education AI / ML Engineer - Required Skills & Qualifications: Bachelor’s or Master’s in Computer Science, Engineering, Data Science, AI/ML, Mathematics, or related field Technical Skills Proficient in Python and ML libraries: scikit-learn, XGBoost, pandas, NumPy, matplotlib, seaborn, etc. Strong understanding of machine learning algorithms and deep learning architectures (CNNs, RNNs, Transformers, etc.) Hands-on with TensorFlow , PyTorch , or Keras Experience in data preprocessing , feature selection , EDA , and model interpretability Comfortable with API development and deploying models using Flask, FastAPI, or similar Experience with MLOps tools like MLflow , Kubeflow , DVC , Airflow , etc. Familiarity with cloud platforms like AWS (SageMaker, S3, Lambda), GCP (Vertex AI), or Azure ML Strong understanding of version control (Git), CI/CD, and containerization (Docker) Bonus Skills (Good To Have) NLP frameworks (e.g., spaCy, NLTK, Hugging Face Transformers) Computer Vision experience using OpenCV or YOLO/Detectron Knowledge of Reinforcement Learning or Generative AI (GANs, LLMs) Experience with vector databases (e.g., Pinecone, Weaviate) and LangChain for AI agent building Familiarity with data labeling platforms and annotation workflows Soft Skills Analytical mindset with problem-solving skills Strong communication and collaboration abilities Ability to work independently in a fast-paced, agile environment Passion for AI/ML and eagerness to stay updated with the latest developments Skills: fastapi,pandas,ml libraries,pinecone,docker,langchain,matplotlib,yolo,numpy,yolo/detectron,nltk,machine learning,spacy,vertex ai,feature selection,lambda,gans,tensorflow,airflow,weaviate,data labeling,nlp frameworks,seaborn,python,git,ai,cnns,xgboost,model interpretability,deep learning architectures,dvc,generative ai,opencv,s3,detectron,aws,data preprocessing,api development,ci/cd,gcp,scikit-learn,transformers,vector databases,mlops tools,mlflow,sagemaker,machine learning algorithms,hugging face transformers,kubeflow,eda,annotation workflows,llms,containerization,reinforcement learning,ml,pytorch,flask,rnns,azure ml,keras

About the Role We’re hiring a Code Reviewer with deep Python expertise to review evaluations completed by data annotators assessing AI-generated Python code responses. Your role is to ensure that annotators follow strict quality guidelines related to instruction-following, factual correctness, and code functionality. Responsibilities Review and audit annotator evaluations of AI-generated Python code. Assess if the Python code follows the prompt instructions, is functionally correct, and secure. Validate code snippets using proof-of-work methodology. Identify inaccuracies in annotator ratings or explanations. Provide constructive feedback to maintain high annotation standards. Work within Project Atlas guidelines for evaluation integrity and consistency. Required Qualifications 7+ years of experience in Python development, QA, or code review. Strong knowledge of Python syntax, debugging, edge cases, and testing. Comfortable using code execution environments and testing tools. Excellent written communication and documentation skills. Experience working with structured QA or annotation workflows. English proficiency at B2, C1, C2, or Native level. Preferred Qualifications Experience in AI training, LLM evaluation, or model alignment. Familiarity with annotation platforms. Exposure to RLHF (Reinforcement Learning from Human Feedback) pipelines. Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your Python expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation.

Role Python: Service Implementation YoE 5+ years Total number of positions For 5+ yrs: 10 Open position Special reqs Test Driven Development (TDD), practical, production-grade Python Budget : 110k Skill Python, Implementing production-ready APIs, TDD Role Overview: 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

Responsibilities Review and audit annotator evaluations of AI-generated Python code. Assess if the Python code follows the prompt instructions, is functionally correct, and secure. Validate code snippets using proof-of-work methodology. Identify inaccuracies in annotator ratings or explanations. Provide constructive feedback to maintain high annotation standards. Work within Project Atlas guidelines for evaluation integrity and consistency. Required Qualifications 5–8+ years of experience in Python development, QA, or code review. Strong knowledge of Python syntax, debugging, edge cases, and testing. Comfortable using code execution environments and testing tools. Excellent written communication and documentation skills. Experience working with structured QA or annotation workflows. English proficiency at B2, C1, C2, or Native level.

Overview The Quality Control (QC) Specialist will play a critical role in ensuring the accuracy, consistency and quality of annotated legal documents. This role involves reviewing annotations created by annotators, validating metadata, and ensuring that each document meets the defined standards for tagging and categorisation. The QC Specialist will collaborate closely with annotators, tech team and project leads to maintain high standards across annotations for judgments, legal provisions, and opinions. Key Expectations from Role Quality Assurance and Accuracy Control Develop and implement quality metrics to ensure high standards for each annotated document, measuring accuracy rates, consistency, and adherence to guidelines. Identify and document any deviations from annotation standards, ensuring that each error is flagged, documented, and tracked to facilitate corrective actions. Perform random sampling and focused audits to verify annotation quality and reduce error rates across the project, providing a continuous check on data integrity. Annotation Review and Verification Conduct thorough reviews of annotations of judgments, legal provisions, and opinions to verify that annotations adhere to established standards. Cross-check each annotation for core legal elements, including case name, date, court name, statutory references, legal principles, and issues to ensure completeness. Ensure that metadata such as case identifiers, statutes cited, and legal doctrines are accurately and consistently tagged according to project guidelines. Validate that complex legal relationships are accurately identified in each document and recorded in standardized manner for ease of cross linking (e.g., judgments overruled, followed, referred, distinguished). Validate documents are timestamped correctly by annotators (e.g.: Date of pronouncement, date of publication of a notification in official gazette, date when provisions from the document came in effect from, etc.) Holistic Metadata Validation and Standardization Validate the accuracy and relevance of metadata extracted by annotators or automated tools, ensuring all extracted information meets required standards. Ensure uniformity across metadata fields such as case numbers, legal provisions, key legal outcomes, and cross-references. Confirm that all metadata follows the standardized structure and is formatted correctly for integration into the AI tool. Segmentation and Categorization Review Verify that judgments and legal provisions are segmented into appropriate categories, aligning with project requirements for legal classification (e.g., civil, criminal, appeal, petition). Ensure accurate tagging for legal relationships, including overruled, upheld, distinguished, or followed cases, to improve search functionality within the AI tool. Assess each document for proper categorization, ensuring uniform application of legal classifications across the dataset to enhance the AI tool’s contextual understanding. Feedback and Annotator Support Provide timely, constructive feedback to annotators on identified errors, suggesting corrective actions and reinforcing annotation standards. Document recurring errors or misunderstandings to guide annotator training, working with project leads to enhance guidelines and training materials. Quality Metrics Tracking and Reporting Maintain detailed records of quality metrics, documenting error rates, accuracy scores, and the frequency of specific annotation issues. Prepare regular quality reports summarizing review outcomes, highlighting any recurring issues and proposing corrective actions. Develop insights from quality control data to recommend improvements in annotation processes and guidelines, enhancing overall project quality. Collaboration and Process Improvement Collaborate with the Project Manager, Annotation Team Lead, and Technical Support teams to continually improve annotation standards and quality control processes. Share findings with cross-functional teams, contributing to the refinement of annotation guidelines, project workflows, and validation protocols. Actively participate in project meetings, providing insights on annotation quality, challenges, and recommendations for improvement. Documentation and Compliance Maintain meticulous records of all quality checks, ensuring that each document review is traceable, and that feedback is consistently documented. Adhere to data handling and confidentiality protocols, ensuring that all judgments, legal provisions, and opinions are reviewed in compliance with the firm’s standards for data security and privacy. Contribute to the development and refinement of QC documentation, including quality checklists, review protocols, and feedback guidelines. Recommended Qualifications Education : Bachelor’s degree in law, or a related field. Additional certifications in legal research or legal analytics are advantageous. Experience : Minimum of 2-3 years in a quality control, legal research, or data management role. Preferred : Experience in a legal knowledge management team with experience in document tagging, legal publishing house, or as a legal editor. Proven familiarity with legal document management, annotation standards, and legal taxonomy. Knowledge : Strong understanding of legal terminology and principles. Familiarity with annotation standards for legal texts. Knowledge of metadata standards and legal research databases is a plus. Skills : Exceptional attention to detail and analytical skills. Familiarity with legal research tools and annotation software. Holistic understanding of how legal data points interconnect and form a part of larger datasets Strong communication skills for providing feedback and training to annotators. Ability to work independently and collaboratively in a fast-paced project environment. Attributes : High degree of accuracy, ability to meet deadlines, and a commitment to maintaining confidentiality of legal documents.

Job Title: Python Code Quality Auditor – AI Annotation Review Experience: 5–8+ Years Location: Remote Role Overview: We are looking for a detail-oriented and experienced Python Code Quality Auditor to support our AI evaluation team. In this role, you will audit annotator evaluations of AI-generated Python code to ensure adherence to prompt instructions, functional correctness, and security standards. You will play a key role in maintaining high-quality benchmarks in Python code annotation and contributing to AI model training. Key Responsibilities: Review and audit annotator evaluations of AI-generated Python code for accuracy and completeness. Assess whether Python code adheres to prompt instructions, is functionally correct, and secure. Validate and test code snippets using proof-of-work methodology and appropriate execution tools. Identify errors or inconsistencies in annotator ratings or written explanations. Provide clear, constructive feedback to help maintain annotation quality and accuracy. Ensure all audits are conducted within the Project Atlas guidelines and maintain evaluation integrity. Document issues and findings in a structured and communicative manner. Required Qualifications: 5–8+ years of experience in Python development, code review, or QA. Strong understanding of Python syntax , debugging techniques , and edge case handling. Proficiency with writing and executing test cases using modern testing tools (e.g., unittest, pytest). Experience working in structured QA , annotation, or review workflows. Comfortable using code execution environments (e.g., Jupyter, REPLs, cloud IDEs). Excellent written communication and documentation skills. English proficiency at B2, C1, C2, or native level (required for reading and writing clear feedback). Preferred Skills (Nice to Have): Background in AI/ML , LLM evaluations, or prompt-based development. Experience with secure coding practices and code vulnerability analysis. Prior experience in technical annotation , content moderation, or crowdsourced QA platforms.

We are looking for English language Specialist, where you will immerse yourself in the exhilarating world of Large Language Models and Generative AI. We’re on the lookout for someone with an understanding of large language model and good in English proficiency as you need to clear the Versant Test to become eligible for the position. Responsibilities Review and edit English language content for grammar, punctuation, style, and tone. Collaborate with content creators, annotators, and other stakeholders to ensure consistency and quality across all communications. Assessing the quality of LLM outputs, identifying errors or inconsistencies, and providing detailed feedback using established rubrics. Develop and implement language guidelines and best practices. Provide cultural insights to ensure content resonates with target audiences. Required Hours: 25-30 hours per week Project Start Date: 9th July 2025 Required Test: Versant for English Eligibility: Only C1 & C2 scoring candidates in Versant test Share your Updated Resume/CV at ptomar@innodata.com to get assigned the Versant Test (Mention Subject Line as "English Expert" while sending emails) Qualifications Bachelor's degree in English, Linguistics, Communications, or a related field. Native or near-native proficiency in English. Proven experience in content creation, annotation, editing, or a similar role. Strong attention to detail and commitment to linguistic accuracy. Ability to work collaboratively in a fast-paced environment. Tier 1 & Tier 2 college Students or Pass outs are preferred Skills Excellent command of English grammar, syntax, and vocabulary. Strong editing and proofreading skills. Familiarity with content management systems (CMS). Effective communication and interpersonal skills. Cultural sensitivity and awareness.

DataLEADS is a strong and growing team that is driven by passion, creativity and collaboration. We value individuals with unique interests, experiences and who think differently. We’re committed to equal opportunities and creating an inclusive environment for all our team members. POSITION: ANALYST (DATA & ML) About the role: DataLEADS is seeking a highly motivated Data Analyst to join our dynamic, cross-functional team working at the intersection of media, technology, and public good. You’ll be responsible for managing data pipelines, building internal tools and dashboards, and supporting the deployment of AI/ML-powered workflows — especially for public health, digital media, and development-focused use cases. This role is ideal for someone with a strong technical foundation (Python, SQL, scripting) and an interest in automation, generative AI , and data-for-impact storytelling. Nature of Role Full time, from our office location in New Delhi Joining Immediate Requirements: Bachelor’s degree in Computer Science, Statistics, Engineering, Mathematics, or related technical field. Proficiency in Python, especially with libraries like pandas and requests; basic visualization using matplotlib or plotly Good command of SQL, including joins and common table expressions; familiarity with BigQuery or similar databases Basic JavaScript or Google Apps Script skills to support workflow automation Strong skills in Google Sheets or Excel (pivot tables, array formulas, basic macros) Exposure to using APIs (e.g., OpenAI, Claude) for prototyping or automation tasks Demonstrated interest in learning emerging tools in AI, automation, and data analysis Nice-to-Have Skills: Familiarity with tools like LangChain, Chroma, or vector search systems Basic experience building simple dashboards using Streamlit or Flask Exposure to data scraping or data collection using Python Understanding of or interest in working with data in areas like public health, misinformation, or digital media Key Responsibilities: Clean, transform, and enrich datasets using SQL and Google Sheets; maintain data views and internal dashboards Build and maintain automations using Google Apps Script, Zapier, and other no-code/low-code tools Write Python and JavaScript utilities to automate recurring tasks and retrieve external data Assist in prototyping AI/LLM-powered tools for tasks like annotation, summarization, and reporting — with support and supervision Create basic visualizations using Plotly or Matplotlib for internal and external stakeholders Document workflows, assumptions, and data logic clearly for team knowledge sharing What We Offer: At DataLEADS, you’ll have the opportunity to work on high-impact, real-world challenges , collaborate with an interdisciplinary team of technologists, journalists, and researchers, and gain hands-on exposure to cutting-edge tech interventions and frameworks . We offer a learning-focused, inclusive environment that encourages experimentation and growth. How to Apply: Send your CV, cover letter and links to portfolio (if available) to jobs@dataleads.co.in with the subject line: “Application: Data Analyst – [Your Name]” About DataLEADS: DataLEADS is a globally recognised digital media and tech company aimed to help people understand and engage with the world around them. We work on the complexity of a dynamic and evolving information ecosystem. Our work includes data intelligence, fact-checking initiatives, media and information literacy interventions, curriculum development, designing public policy interventions, media research, social listening and digital transformation. At the core of our work lies a profound belief that authentic information is central to human empowerment.

Bachelor degree on design/photography/fashion or any graduation with 3+ years related experience 2 + years demonstrating success managing a team with a track record of driving high performance Experience in fashion Strong oral (speaking, listening, interpretation) and written communication skills Strong analytical skills; you are someone who wants to dive into the numbers and seek to understand and has depth of experience in Excel Experience in understanding performance metrics and developing them, as required Demonstrated history delivering results in cross-functional environments; ability to drive organizational change using sound reasoning backed up by relevant data in a well-prepared business briefing A sense of urgency and an appreciation for working in a fast-paced, deadline-oriented environment Comfort with ambiguity; ability to be flexible in a rapidly changing environment The ML Data Annotation Services team within Amazon NA Store powers new products that deliver various CXs, using ML/AI to the fashion domain. Our team of Fashion Specialists provide high-quality labeled fashion data at high-speed and low-cost for Machine Learning (ML) and Computer Vision (CV) technologies, enabling delightful customer experiences. We partner with product and science teams to support launching new customer-facing fashion experiences and assist them throughout the product lifecycle. We're the team that thrives in a start-up like environment where flexibility, teamwork and ability to deliver solutions are a priority. You will have the opportunity to conceptualize, design and build AI driven experiences across the Amazon retail website and the Amazon Shopping mobile app. You will collaborate with various partner teams throughout Amazon and you will be a key member of a team that's building innovative new experiences that will change customers' lives. Amazon Fashion is revolutionizing how customers shop and buy clothing. Our business uses machine learning technology and stylist intuition to give great personalized recommendations based on customer preferences. If you are ready to work hard and engage in a rapidly changing industry, this position is right for you. We offer a creative, fast paced, entrepreneurial work environment where you’ll be driving various innovation at Amazon. We are looking for a Team Manager to build out and lead a team of annotation experts, who are fashion specialists, working closely with counterparts in the United States. The team you manage will annotate fashion images to provide data to train algorithms for fashion experiences across Amazon. The successful candidate will have a strong passion for design, photography, fashion and tech, a relentless desire to drive process improvement, and build a great team culture. Key job responsibilities Leading and developing a team of associates with fashion background Support the strategy for the team, drive clear goals and vision for initiatives Managing individual and team performance expectations and goals Working with third-party agencies and recruiting to recruit team members and onboard new hires Partnering with our training lead to develop and train Fashion Specialists and team managers and understanding and effectively utilize resources provided by internal systems, departments, policies, and procedures Developing our team practices and managing our workforce to create an exciting, supportive, ambitious and innovative culture Understanding different local fashion trends and deep diving into Amazon customers’ fashion preferences, and using this information to develop new styling strategies Delivering results quickly with little supervision in a dynamic and often ambiguous environment. Communicating effectively, including verbal and written skills, and influencing across levels Demonstrating strong business acumen, including problem solving skills, critical thinking, and a willingness to be vocally self-critical Exposure to process improvement/quality control tools and methods. Exceptional skills in data manipulation and analysis. Capacity planning. Proficiency in writing and understanding code. 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.

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: A3027636

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: A3027635

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+ 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: A3027634

Selected Intern's Day-to-Day Responsibilities Work actively on computer vision and deep learning applications Work on challenging problem statements to fine-tune models with huge datasets Work on improving model accuracy and precision for CCTV cameras Compare the accuracy and performance of different CV models for a particular task Understand and work with Vision-Language Models (VLMs) Perform image annotation tasks to enhance dataset quality About Company: Faclon Labs is a Mumbai-headquartered deep-tech IoT company founded by IIT-Bombay alumni. Over the years, we have evolved into a one-stop and highly relevant IoT & AI company to drive digital transformation and Industry 4.0 among enterprises. Having a focus on deep technologies and continuous innovations, Faclon has become one of the leading companies in the IoT space with an aggressive portfolio of customers in India and overseas.

At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About The Role If you're a professional who works with AI Data Annotation and friendly user of LLMs, Mindrift offers a unique opportunity to apply your editing, annotating, fact-checking and creative skills to an AI training project. This is a freelance role for a project, and your typical tasks may include: Conduct high-quality web searches to verify facts, gather supporting data, and cross-check AI responses. Perform fact-checking and intent verification to ensure AI responses align with the user's goals. Carefully review and flag any inaccuracies, inconsistencies, or irrelevant answers. Provide structured feedback on AI-generated content to help improve model performance. Work effectively with large language models (LLMs), understanding their capabilities and limitations, and applying best practices when interacting with them Prompt generation with a purpose to receive the best quality result of LLMs How To Get Started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you'll help shape the future of AI while ensuring technology benefits everyone. Requirements You are currently enrolled in or completed a Bachelor's degree or higher You have professional and/or educational experience in data annotation, demonstrate a deeper-than-user-level interest in AI, and possess intellectual breadth and curiosity You are skilled in web searching, fact-checking, intent-checking, able to work with LLMs and have great attention to detail Your level of English is upper-intermediate (B2) or above You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge Benefits Why this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments Work on advanced AI projects and gain valuable experience that enhances your portfolio Influence how future AI models understand and communicate in your field of expertise

At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About The Role If you're a professional who works with AI Data Annotation and friendly user of LLMs, Mindrift offers a unique opportunity to apply your editing, annotating, fact-checking and creative skills to an AI training project. This is a freelance role for a project, and your typical tasks may include: Conduct high-quality web searches to verify facts, gather supporting data, and cross-check AI responses. Perform fact-checking and intent verification to ensure AI responses align with the user's goals. Carefully review and flag any inaccuracies, inconsistencies, or irrelevant answers. Provide structured feedback on AI-generated content to help improve model performance. Work effectively with large language models (LLMs), understanding their capabilities and limitations, and applying best practices when interacting with them Prompt generation with a purpose to receive the best quality result of LLMs How To Get Started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you'll help shape the future of AI while ensuring technology benefits everyone. Requirements You are currently enrolled in or completed a Bachelor's degree or higher You have professional and/or educational experience in data annotation, demonstrate a deeper-than-user-level interest in AI, and possess intellectual breadth and curiosity You are skilled in web searching, fact-checking, intent-checking, able to work with LLMs and have great attention to detail Your level of English is upper-intermediate (B2) or above You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge Benefits Why this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments Work on advanced AI projects and gain valuable experience that enhances your portfolio Influence how future AI models understand and communicate in your field of expertise

At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About The Role If you're a professional who works with AI Data Annotation and friendly user of LLMs, Mindrift offers a unique opportunity to apply your editing, annotating, fact-checking and creative skills to an AI training project. This is a freelance role for a project, and your typical tasks may include: Conduct high-quality web searches to verify facts, gather supporting data, and cross-check AI responses. Perform fact-checking and intent verification to ensure AI responses align with the user's goals. Carefully review and flag any inaccuracies, inconsistencies, or irrelevant answers. Provide structured feedback on AI-generated content to help improve model performance. Work effectively with large language models (LLMs), understanding their capabilities and limitations, and applying best practices when interacting with them Prompt generation with a purpose to receive the best quality result of LLMs How To Get Started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you'll help shape the future of AI while ensuring technology benefits everyone. Requirements You are currently enrolled in or completed a Bachelor's degree or higher You have professional and/or educational experience in data annotation, demonstrate a deeper-than-user-level interest in AI, and possess intellectual breadth and curiosity You are skilled in web searching, fact-checking, intent-checking, able to work with LLMs and have great attention to detail Your level of English is upper-intermediate (B2) or above You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge Benefits Why this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments Work on advanced AI projects and gain valuable experience that enhances your portfolio Influence how future AI models understand and communicate in your field of expertise

Skill required: Marketing Operations - Digital Asset Management (DAM) Designation: Digital Content Management Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? Help balance increased marketing complexity and diminishing marketing resources. Drive marketing performance with deep functional and technical expertise, while accelerating time-to-market and operating efficiencies at scale through Data and Technology, Next Generation Content Services, Digital Marketing Services & Customer Engagement and Media Growth Services. Role requires Digital Marketing Ads & Promotion creation/design Consists of management tasks and decisions surrounding the ingestion, annotation, cataloguing, storage, retrieval and distribution of digital assets What are we looking for? Problem solving and research skills Project management skills Ability to work under pressure and to work on multiple projects concurrently Excellent organizational and communication skills Effective verbal and written communication skills Demonstrates collaborative and professional work ethic Willingness to be flexible and respond to quickly changing priorities Experienced in one or more digital asset management technologies Ability to design systems for tagging images and cataloging taxonomy Knowledge of Adobe Creative Cloud software Knowledge of Capture One (for photo assets) In-depth knowledge of file formats (print, digital, and video) Basic knowledge of Search Engine Optimization (SEO) Organizational skills to develop a successful strategy that expands future digital content discovery and delivery to the CMS Basic knowledge of talent contracts and Rights Management Working knowledge of media usage rights terminology Familiarity with legal approval processes in the licensing industry Roles and Responsibilities: The DAM librarian manages internal company assets, provides skills in content and digital asset management (i.e.taxonomy,indexing,cataloging,archiving, metadata tagging,content management systems).As a function reporting to Creative Services, the Digital Asset Management (DAM) team strategically implements and manages the DAM tool which will house all final creative assets,including,but not limited to,graphic design elements,photography,packaging,catalog content,iconography,video,music,and content.This role will need to work with the users of the DAM system to support their use and navigation around the solution.The DAM Librarian will be the first point of contact for the users and be responsible for working collaboratively in order to understand their working processes with respect to metadata and taxonomy. This requires working closely with the other content teams,such as CMS, Platform Marketing, Regulatory Operations,Labeling,and Publishing,to ensure consistent metadata standards are used. In addition,the DAM Librarian is responsible for managing schemas and dictionaries within the DAM system.This position will influence the strategic set-up and business use of digital assets and unstructured content (i.e.,videos,images,etc).It will help establish process / user management standards,including best practice metadata, taxonomy, permissions and workflows that span the company’s global businesses. It will lead the alignment of taxonomy across company BUs and markets. It will provide support for user accounts, training and establish / track KPIs. It will be the functional steward for"single source of the truth" by making DAM the master resource for digital assets.Primary Responsibilities and Duties: Prepare a long-term plan for categorizing, indexing and archiving all content and information resources, whether they be generated in-house or derived from third-party agents Develop a comprehensive taxonomy for organizing information resources based on business goals and requirements from stakeholders Assess, recommend, and purchase corporate library development tools as required,and track new standards and methodologies Compile and maintain a detailed inventory of existing electronic and print marketing tactic resources,and identify knowledge gaps and make recommendations Properly select and annotate a large volume of media into the digital asset management system to facilitate retrieval and use in production Evaluate digital assets for archiving, research rights issues,and maintain quality control of archiving operations Support effective working relationship