844 Annotation Jobs

About the Role We are looking for a data annotator who would be responsible for working closely with data scientists, machine learning engineers, and other team members to provide critical annotated data that will be used to train, validate, and test various models. This role will require accurately labeling data to ensure the highest quality datasets for machine learning and artificial intelligence applications. Responsibilities Accurately annotate large volumes of data, including image, text, audio, and video data, according to specified guidelines and standards. Organize and maintain annotated datasets, ensuring that data is properly labeled and stored. Review and validate annotations completed by other team members to ensure accuracy and consistency. Work closely with machine learning engineers to understand project requirements and provide insights into annotation processes. Suggest and implement improvements to annotation processes and workflows to enhance productivity and data quality. Utilize and provide feedback on annotation tools and software to improve efficiency and accuracy. Requirements 2-3+ years of proven experience in data annotation and image labeling tasks, ensuring high accuracy and consistency. Exceptional attention to detail and accuracy in data labeling tasks. Familiarity with data annotation tools and software. A basic understanding of machine learning concepts is a plus. Strong analytical skills with the ability to understand and follow complex guidelines and instructions. Strong written and verbal communication skills for clear documentation and collaboration. Ability to work as part of a collaborative team. Bachelor’s degree in any field. Location: Ahmedabad

This posting is for one of our International Clients. About the Role We’re creating a new certification: Inside Gemini: Gen AI Multimodal and Google Intelligence (Google DeepMind) . This course is designed for technical learners who want to understand and apply the capabilities of Google’s Gemini models and DeepMind technologies to build powerful, multimodal AI applications. We’re looking for a Subject Matter Expert (SME) who can help shape this course from the ground up. You’ll work closely with a team of learning experience designers, writers, and other collaborators to ensure the course is technically accurate, industry-relevant, and instructionally sound. Responsibilities As the SME, you’ll partner with learning experience designers and content developers to: Translate real-world Gemini and DeepMind applications into accessible, hands-on learning for technical professionals. Guide the creation of labs and projects that allow learners to build pipelines for image-text fusion, deploy Gemini APIs, and experiment with DeepMind’s reinforcement learning libraries. Contribute technical depth across activities, from high-level course structure down to example code, diagrams, voiceover scripts, and data pipelines. Ensure all content reflects current, accurate usage of Google’s multimodal tools and services. Be available during U.S. business hours to support project milestones, reviews, and content feedback. This role is an excellent fit for professionals with deep experience in AI/ML, Google Cloud, and a strong familiarity with multimodal systems and the DeepMind ecosystem. Essential Tools & Platforms A successful SME in this role will demonstrate fluency and hands-on experience with the following: Google Cloud Platform (GCP) Vertex AI (particularly Gemini integration, model tuning, and multimodal deployment) Cloud Functions, Cloud Run (for inference endpoints) BigQuery and Cloud Storage (for handling large image-text datasets) AI Platform Notebooks or Colab Pro Google DeepMind Technologies JAX and Haiku (for neural network modeling and research-grade experimentation) DeepMind Control Suite or DeepMind Lab (for reinforcement learning demonstrations) RLax or TF-Agents (for building and modifying RL pipelines) AI/ML & Multimodal Tooling Gemini APIs and SDKs (image-text fusion, prompt engineering, output formatting) TensorFlow 2.x and PyTorch (for model interoperability) Label Studio, Cloud Vision API (for annotation and image-text preprocessing) Data Science & MLOps DVC or MLflow (for dataset and model versioning) Apache Beam or Dataflow (for processing multimodal input streams) TensorBoard or Weights & Biases (for visualization) Content Authoring & Collaboration GitHub or Cloud Source Repositories Google Docs, Sheets, Slides Screen recording tools like Loom or OBS Studio Required skills and experience: Demonstrated hands-on experience building, deploying, and maintaining sophisticated AI powered applications using Gemini APIs/SDKs within the Google Cloud ecosystem, especially in Firebase Studio and VS Code. Proficiency in designing and implementing agent-like application patterns, including multi-turn conversational flows, state management, and complex prompting strategies (e.g., Chain-of Thought, few-shot, zero-shot). Experience integrating Gemini with Google Cloud services (Firestore, Cloud Functions, App Hosting) and external APIs for robust, production-ready solutions. Proven ability to engineer applications that process, integrate, and generate content across multiple modalities (text, images, audio, video, code) using Gemini’s native multimodal capabilities. Skilled in building and orchestrating pipelines for multimodal data handling, synchronization, and complex interaction patterns within application logic. Experience designing and implementing production-grade RAG systems, including integration with vector databases (e.g., Pinecone, ChromaDB) and engineering data pipelines for indexing and retrieval. Ability to manage agent state, memory, and persistence for multi-turn and long-running interactions. Proficiency leveraging AI-assisted coding features in Firebase Studio (chat, inline code, command execution) and using App Prototyping agents or frameworks like Genkit for rapid prototyping and structuring agentic logic. Strong command of modern development workflows, including Git/GitHub, code reviews, and collaborative development practices. Experience designing scalable, fault-tolerant deployment architectures for multimodal and agentic AI applications using Firebase App Hosting, Cloud Run, or similar serverless/cloud platforms. Advanced MLOps skills, including monitoring, logging, alerting, and versioning for generative AI systems and agents. Deep understanding of security best practices: prompt injection mitigation (across modalities), secure API key management, authentication/authorization, and data privacy. Demonstrated ability to engineer for responsible AI, including bias detection, fairness, transparency, and implementation of safety mechanisms in agentic and multimodal applications. Experience addressing ethical challenges in the deployment and operation of advanced AI systems. Proven success designing, reviewing, and delivering advanced, project-based curriculum and hands-on labs for experienced software developers and engineers. Ability to translate complex engineering concepts (RAG, multimodal integration, agentic patterns, MLOps, security, responsible AI) into clear, actionable learning materials and real world projects. 5+ years of professional experience in AI-powered application development, with a focus on generative and multimodal AI. Strong programming skills in Python and JavaScript/TypeScript; experience with modern frameworks and cloud-native development. Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI, or a related technical field. Ability to explain advanced technical concepts (e.g., fusion transformers, multimodal embeddings, RAG workflows) to learners in an accessible way. Strong programming experience in Python and experience deploying machine learning pipelines Ability to work independently, take ownership of deliverables, and collaborate closely with designers and project managers Preferred: Experience with Google DeepMind tools (JAX, Haiku, RLax, DeepMind Control Suite/Lab) and reinforcement learning pipelines. Familiarity with open data formats (Delta, Parquet, Iceberg) and scalable data engineering practices. Prior contributions to open-source AI projects or technical community engagement. Show more Show less

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep C# expertise to review evaluations completed by data annotators assessing AI-generated C# 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 C# code. Assess if the C# 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 5–7+ years of experience in C# development, QA, or code review. Strong knowledge of C# 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. Compensation : $22 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your C# expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation. Show more Show less

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep C++ expertise to review evaluations completed by data annotators assessing AI-generated Java 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 C++ code. Assess if the C++ 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 5–7+ years of experience in C++ development, QA, or code review. Strong knowledge of C++ 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. Compensation : $22 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your C++ expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation. Show more Show less

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep C# expertise to review evaluations completed by data annotators assessing AI-generated C# 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 C# code. Assess if the C# 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 5–7+ years of experience in C# development, QA, or code review. Strong knowledge of C# 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. Compensation : $22 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your C# expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation. Show more Show less

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep C++ expertise to review evaluations completed by data annotators assessing AI-generated Java 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 C++ code. Assess if the C++ 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 5–7+ years of experience in C++ development, QA, or code review. Strong knowledge of C++ 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. Compensation : $22 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your C++ expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation. Show more Show less

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep Java expertise to review evaluations completed by data annotators assessing AI-generated Java 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 Java code. Assess if the Java 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 5–7+ years of experience in Java development, QA, or code review. Strong knowledge of Java 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. Compensation : $18 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your Java expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation. Show more Show less

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep C++ expertise to review evaluations completed by data annotators assessing AI-generated Java 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 C++ code. Assess if the C++ 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 5–7+ years of experience in C++ development, QA, or code review. Strong knowledge of C++ 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. Compensation : $22 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your C++ expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation. Show more Show less

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep C# expertise to review evaluations completed by data annotators assessing AI-generated C# 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 C# code. Assess if the C# 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 5–7+ years of experience in C# development, QA, or code review. Strong knowledge of C# 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. Compensation : $22 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your C# expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation. Show more Show less

Job Title: Test Lead – Computer Vision. (Ground Truth Validation) Location : Onsite in Bavdhan, Pune Description: We are looking for an experienced Test Lead to manage QA efforts for our computer vision projects , with a strong focus on Ground Truth validation . The ideal candidate will be hands-on, detail-oriented, and able to lead testing for ML model outputs, annotated datasets, and visual recognition systems. Responsibilities: Lead test planning, execution, and reporting for CV/ML pipelines Validate annotations and Ground Truth data for accuracy and consistency Coordinate with data labeling teams and ML engineers Develop and manage test cases for model accuracy, precision, and edge cases Ensure delivery of high-quality datasets and outputs Requirements: 4+ years in QA/testing, with 1–2 years in Computer Vision or ML projects Experience with Ground Truth validation workflows Familiarity with image annotation tools (e.g., Labelbox, CVAT, VGG) Strong attention to detail and analytical thinking Excellent communication and leadership skills Show more Show less

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep Java expertise to review evaluations completed by data annotators assessing AI-generated Java 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 Java code. Assess if the Java 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 5–7+ years of experience in Java development, QA, or code review. Strong knowledge of Java 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. Compensation : $18 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your Java expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation. Show more Show less

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep C# expertise to review evaluations completed by data annotators assessing AI-generated C# 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 C# code. Assess if the C# 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 5–7+ years of experience in C# development, QA, or code review. Strong knowledge of C# 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. Compensation : $22 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your C# expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation. Show more Show less

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep C++ expertise to review evaluations completed by data annotators assessing AI-generated Java 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 C++ code. Assess if the C++ 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 5–7+ years of experience in C++ development, QA, or code review. Strong knowledge of C++ 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. Compensation : $22 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your C++ expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation. Show more Show less

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep C++ expertise to review evaluations completed by data annotators assessing AI-generated Java 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 C++ code. Assess if the C++ 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 5–7+ years of experience in C++ development, QA, or code review. Strong knowledge of C++ 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. Compensation : $22 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your C++ expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation. Show more Show less

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep C# expertise to review evaluations completed by data annotators assessing AI-generated C# 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 C# code. Assess if the C# 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 5–7+ years of experience in C# development, QA, or code review. Strong knowledge of C# 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. Compensation : $22 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your C# expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation. Show more Show less

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep Java expertise to review evaluations completed by data annotators assessing AI-generated Java 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 Java code. Assess if the Java 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 5–7+ years of experience in Java development, QA, or code review. Strong knowledge of Java 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. Compensation : $18 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your Java expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation. Show more Show less

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep Java expertise to review evaluations completed by data annotators assessing AI-generated Java 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 Java code. Assess if the Java 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 5–7+ years of experience in Java development, QA, or code review. Strong knowledge of Java 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. Compensation : $18 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your Java expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation. Show more Show less

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep Java expertise to review evaluations completed by data annotators assessing AI-generated Java 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 Java code. Assess if the Java 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 5–7+ years of experience in Java development, QA, or code review. Strong knowledge of Java 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. Compensation : $18 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your Java expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation. Show more Show less

About Company : They balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what’s now to what’s next by unlocking the value of their data and applications to solve their digital challenges, achieving outcomes that benefit both business and society. Job Description Job Title: Sr. Python Location: Pan India Experience: 6+ yrs. Employment Type: Contract to hire Work Mode: Remote Notice Period: Immediate joiners Mandatory Skills: Lang Chain, Integrating LLMs, agent frameworks, Lang Chain, Lang Graph, RAG. Role Overview: This role is for an experienced and high-caliber engineer with strong proficiency in Python and hands-on expertise integrating Large Language Models (LLMs) into production systems. This individual contributor (IC) role focuses on designing robust backend services and orchestrating LLM workflows. Please note: this is a software engineering role, not one in data annotation, data science, or analytics. What does day-to-day look like : Designing and implementing production-grade APIs and backend services in Python Building and maintaining LLM-powered systems, including agent frameworks and orchestration using tools like Lang Chain and Lang Graph Efficiently integrating LLM calls into backend workflows Collaborating across functions to develop reliable, maintainable systems Requirements : 5+ years of experience as a backend or full-stack engineer with a strong backend focus Advanced proficiency in Python Practical experience integrating LLMs (e.g., RAG pipelines, agent frameworks, Lang Chain, LangGraph, or similar) Background in machine learning engineering is a strong plus Solid understanding of service architecture and production deployment workflows Show more Show less

We’re Hiring: Subject Matter Expert – Microscopy | Northier Insights Pvt. Ltd. Location: Vadodara, India (On-site) Apply: careers@northier.com Are you passionate about neuroscience, microscopy, and data precision? Join Northier Insights, where cutting-edge microscopy meets AI-driven data annotation. We’re on the lookout for a Subject Matter Expert (SME) with deep expertise in microscopy to lead high-impact data annotation projects in the life sciences domain. What You’ll Do: - Oversee annotation projects involving complex microscopic datasets - Review and validate scientific image annotations for accuracy and consistency - Mentor junior annotators and provide domain-specific training - Work closely with clients and internal teams to align goals and maintain quality - Maintain project documentation and ensure quality protocols are followed Must-Have: - 2+ years of hands-on microscopy experience - Solid grasp of cellular markers, fluorescent dyes, and brain tissue imaging - Experience with confocal, fluorescent, and light sheet microscopy - M.Sc. or Ph.D. in Neuroscience, Cell Biology, Biomedical Sciences, or similar - Familiarity with image analysis tools and a strong eye for detail If you're ready to contribute your scientific expertise to groundbreaking annotation work, we’d love to hear from you! Send your resume to careers@northier.com. Let’s bring precision to the future of bioimaging. Show more Show less

Job description Company Description TELUS Digital is a global digital transformation company that focuses on creating unique and enduring digital experiences for customers and employees. Our portfolio includes digital IT services, trust and safety services, AI data solutions, and front-end digital design and consulting services. We strive to elevate end customer journeys, solve business challenges, drive innovation, and create inclusive, thriving communities. Role Description This is a full-time on-site role as a Data Annotator located in Bengaluru. The Data Annotator will be responsible for day-to-day tasks related to annotating and labeling data for AI models, ensuring data quality and accuracy. We are seeking experienced Data Annotation Specialists with a keen eye for detail and prior expertise in 2D and 3D labeling, LiDAR data, and datasets. This role plays a critical part in training AI systems for autonomous projects and requires working on annotation tasks like identifying clear image labeling, and converting main 2D images accurately. Qualifications Experience in data annotation and labeling Annotate and label datasets, including 2D models, other 2D and 3D images, and LiDAR scans. Strong attention to detail and ability to maintain data quality Proficiency in data management tools and platforms Good analytical and problem-solving skills Excellent communication and collaboration abilities Bachelor's degree in Computer Science, Data Science, or related field Required Skills and Experience: 1.5 to 2+ years of hands-on experience in 2D & 3D data annotation . Practical knowledge in LiDAR annotation . Background working on datasets is mandatory . Experience in hardware automation projects. Strong attention to detail and basic communication skills . Show more Show less

About Intellismith Intellismith, founded in 2019, is a dynamic HR service and technology startup. Our mission is to tackle India’s employability challenges head-on. We specialize in scaling talent acquisition and technology resource outsourcing. Also, as an IBM and Microsoft Business Partner, we leverage industry-leading solutions to enhance and diversify our offerings. As we chart our growth trajectory, we’re transitioning from a service-centric model to a product-focused company. Our journey involves building a cutting-edge skilling platform to empower Indian youth with domain-specific training, making them job-ready for the competitive market. Why Join Intellismith? Impactful Mission: Be part of a forward-thinking organisation committed to solving employability challenges. Your work directly contributes to bridging the skills gap and transforming lives. Innovation and Growth: Contribute to our exciting transition from services to products. Shape the future of our skilling platform and impact Indian youth positively. Collaborative Environment: Work alongside talented professionals across multiple locations. Our diverse teams foster creativity and learning. Entrepreneurial Spirit: Intellismith encourages fresh ideas and entrepreneurial thinking. Your voice matters here. As a leading outsourcing partners, we are hiring a Data Annotator to work on a project for our client, which is the largest provider of telecoms and mobile money services in 14 countries spanning Sub-Saharan, Central, and Western Africa. Purpose: A Data Annotator/Labeler will be responsible for creating high-quality labeled datasets used for various analytical purposes. This role involves working with multiple data types including images, text, audio to prepare structured datasets according to project guidelines. The work supports the development of data-driven solutions across multiple industries and applications. Job Details Experience required- 3-5 years of experience in data annotation. CTC Bracket - Competitive and commensurate with experience Qualification- BE / B Tech / MCA / BCA / MTech. Location - Gurugram (WFO - 5 days) Notice Period: Immediate to 15 days (Candidates with notice period of less than 30 days are preferred) Mandatory Skills: Must have experience of Annotation tools Must have experience of Excel for data entry & reporting Required Skills: Strong attention to detail and consistency in labeling tasks Proficiency with Excel for data entry and reporting Excellent judgment skills for establishing and maintaining quality standards Experience with basic data annotation tools and platforms Ability to follow detailed guidelines while maintaining efficiency Visual analysis capabilities for image-based work Good listening skills for audio processing tasks when required Good communication skills for clarifying requirements and reporting issues Ability to maintain focus during repetitive tasks while ensuring quality Responsibilities: Review and label various types of data according to established guidelines Process images through detailed visual inspection, comparison, and categorization Identify visual elements, objects, or features within images based on project criteria Evaluate image quality and apply appropriate quality benchmarks Perform structured data entry and organization tasks using Excel and other tools Apply judgment skills to maintain quality standards across processes Analyze text data for relevant patterns, topics, or characteristics Create classification schemas for organizing related data points Extract key information from documents and structured sources Complete annotation tasks with high accuracy while meeting productivity targets Preferred qualifications: Previous experience in data annotation, data entry, or related fields 3-5 years Familiarity with different annotation methodologies (bounding boxes, semantic segmentation, etc.) Basic understanding of machine learning concepts and data applications Background in quality assurance or data validation #DataAnnotation #CVAT #Annotator #Labeling #immediatejoiners #Career #Jobopportunity Show more Show less

Sigma.AI is a world leading technology company in data collection and annotation for the development of Artificial Intelligence systems with offices in Spain, the United States and the United Kingdom. Urdu speakers are needed for voice recording project. This project will have a short duration. This is a flexible task that is to be completed through an online application, available 24/7. Requirements Native level of speaking and listening in Urdu. Intermediate level of English or Spanish. Computer skills at user level. It is necessary to have the Android operating system mobile to carry out this project. The Following Will Be Valued Experience in rating or data annotation. Attention to detail. Sigma AI does not hire through third parties. Show more Show less

Sigma.AI is a world leading technology company in data collection and annotation for the development of Artificial Intelligence systems with offices in Spain, the United States and the United Kingdom. We are looking for native Deccan transcribers for a remote project using Arabic Script. This is a flexible task which will be completed through an online application, available 24/7. Requirements Good oral comprehension and written expression of the mentioned language is essential. Intermediate level of English. Computer skills at user level. The Following Will Be Valued Experience in rating or data annotation. Attention to detail. Sigma AI does not hire through third parties. Show more Show less

Sigma.AI is a world leading technology company in data collection and annotation for the development of Artificial Intelligence systems with offices in Spain, the United States and the United Kingdom. Kannada speakers are needed for voice recording project. This project will have a short duration. This is a flexible task that is to be completed through an online application, available 24/7. Requirements Native level of speaking and listening in Kannada. Intermediate level of English or Spanish. Computer skills at user level. It is necessary to have the Android operating system mobile to carry out this project. The Following Will Be Valued Experience in rating or data annotation. Attention to detail. Sigma AI does not hire through third parties. Show more Show less