797 Data Annotation Jobs - Page 8

Key Deliverables: Annotate and validate Physics-related datasets for AI training Provide feedback on AI-generated Physics content for accuracy Develop problem sets and solutions aligned with academic standards Collaborate with researchers to refine AI's Physics knowledge Role Responsibilities: Apply subject-matter expertise to evaluate AI comprehension Ensure scientific precision and conceptual clarity in outputs Assist in improving AI models through RLHF and SFT methods Contribute to educational content that trains next-gen AI systems

Key Responsibilities: Evaluate AI-generated electrical circuit designs. Work on AI annotation for power distribution and energy systems. Assess AIs accuracy in electrical load analysis. Must Required Traits: Strong academic background in Electrical Engineering (PhD preferred). Teaching, tutoring, or content creation experience in the field is a plus. Familiarity with AI, machine learning, or data annotation is beneficial. Strong analytical skills and attention to detail.

We are seeking a qualified Physics expert with a Master's degree to support AI development through data annotation and feedback-driven model improvement. In this remote and flexible role, you'll contribute directly to enhancing AI performance using techniques such as Reinforcement Learning with Human Feedback (RLHF) and Supervised Fine-Tuning (SFT). What You Will Be Doing Annotate Physics-related datasets to boost AI comprehension and contextual awareness Evaluate AI-generated Physics responses for scientific accuracy and clarity Develop, review, and refine Physics problem sets and explanatory content for AI training Collaborate with AI research teams to improve the model's understanding of key Physics concepts and reasoning strategies Must-Have Traits Strong academic foundation in Physics (Master's degree required) Background in Physics education, research, or content development preferred Familiarity with AI, machine learning concepts, or data annotation workflows is a plus Excellent analytical thinking and problem-solving abilities Why Join Us 100% remote opportunity with a fully flexible schedule Collaborate with cutting-edge AI technology initiatives Contribute to shaping the future of science education and intelligent systems

We are seeking highly skilled Industrial Engineers to contribute to the training of advanced AI systems by bringing their expertise in manufacturing processes, optimization, and systems analysis. This fully remote, project-based opportunity offers flexibility and impact for professionals eager to shape the future of AI technology. Key Responsibilities Annotate and evaluate AI-generated manufacturing workflows and operational models Provide expert insights into automation systems and lean manufacturing principles Improve AI understanding of production system optimization, process control, and efficiency metrics Must-Have Traits Strong academic foundation in Manufacturing or Industrial Engineering (Bachelor's degree preferred) Experience in teaching, tutoring, or developing domain-specific educational content is a plus Familiarity with AI concepts, machine learning workflows, or data annotation practices Exceptional analytical thinking and attention to detail Why Join Us Competitive hourly compensation (up to ?1,500/hour; may vary by project) Complete flexibility with a fully remote work arrangement Contribute your expertise to building the next generation of intelligent AI systems

Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. Who you are & how you can contribute. We are seeking a Chemistry expert with a PhD degree. The role involves working on data annotation and model refinement for AI through RLHF and SFT techniques. This fully remote position allows for flexible work hours while contributing to AIs advancement. What you will be doing: Annotate Chemistry-related data to improve AI comprehension. Provide feedback on AI-generated responses to ensure scientific accuracy. Assist in developing problem sets and solutions for AI training. Collaborate with AI researchers to refine AI capabilities in the field of Chemistry. Must Required Traits: Strong academic background in Chemistry. Experience in Chemistry education, research, or content creation preferred. Familiarity with AI, machine learning, or data annotation is a plus. Excellent problem-solving and analytical skills. Why join us: Competitive salary. Fully remote and flexible work schedule. Opportunity to work on cutting-edge AI technology.

We are seeking highly skilled freelance Civil Engineers to support AI training projects by providing expert knowledge through data annotation and technical review. This remote, flexible role is ideal for professionals passionate about bridging civil engineering with advanced AI development. Key Responsibilities Review and annotate AI-generated outputs related to structural and civil engineering Evaluate blueprints and construction-related materials created by AI systems Ensure AI models produce accurate, logical, and industry-aligned engineering solutions Must-Have Traits Strong academic background in Civil Engineering (PhD preferred) Experience in teaching, tutoring, or content creation is a plus Familiarity with AI, machine learning, or data annotation workflows is beneficial Excellent analytical skills and attention to detail Why Join Us Competitive hourly pay of up to ?1,500 (project-based; varies) 100% remote work with complete scheduling flexibility Play a crucial role in developing next-generation AI in the civil engineering domain

We are looking for highly skilled Structural Engineers to contribute to AI development by leveraging domain-specific expertise. This freelance opportunity allows you to work remotely with flexible hours, supporting cutting-edge projects that enhance AI's understanding of civil and structural engineering. Responsibilities Review and annotate AI-generated structural and civil engineering outputs Assess blueprints and construction-related data produced by AI systems Ensure AI models produce accurate and logically sound engineering designs Must-Have Traits Strong academic background in Civil or Structural Engineering (Bachelor's degree preferred) Experience in teaching, tutoring, or creating educational content in the engineering field is a plus Familiarity with AI, machine learning, or data annotation processes is beneficial Excellent analytical skills and high attention to detail Why Join Us Competitive hourly pay of up to ?1,500 (project-based rates may vary) Fully remote role with a flexible work schedule Opportunity to advance AI technology through real-world engineering expertise

Key Deliverables: Annotate and refine AI training data specific to Physics topics Evaluate AI-generated outputs for scientific accuracy and logical reasoning Create problem sets and step-by-step solutions aligned with AI training goals Collaborate with AI research teams to enhance AI's comprehension of physics Role Responsibilities: Apply deep subject matter expertise to develop high-quality learning content Support the development of AI through RLHF and SFT methodologies Review AI performance in real-time academic simulations Work remotely with flexible hours while contributing to cutting-edge projects

Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. Who you are & how you can contribute. We are seeking a Chemistry expert with a PhD degree. The role involves working on data annotation and model refinement for AI through RLHF and SFT techniques. This fully remote position allows for flexible work hours while contributing to AIs advancement. What you will be doing: Annotate Chemistry-related data to improve AI comprehension. Provide feedback on AI-generated responses to ensure scientific accuracy. Assist in developing problem sets and solutions for AI training. Collaborate with AI researchers to refine AI capabilities in the field of Chemistry. Must Required Traits: Strong academic background in Chemistry. Experience in Chemistry education, research, or content creation preferred. Familiarity with AI, machine learning, or data annotation is a plus. Excellent problem-solving and analytical skills. Why join us: Competitive salary. Fully remote and flexible work schedule. Opportunity to work on cutting-edge AI technology.

We are seeking highly skilled Electronics Engineers to contribute to AI training by leveraging their domain expertise through data annotation and technical insights. This is a fully remote and flexible role designed for professionals who are passionate about electronics and advancing AI capabilities. Key Responsibilities Validate and refine AI-assisted circuit and embedded system designs Review and assess AI-generated PCB layouts and microcontroller-based solutions Contribute to the training of AI models focused on electronic component behavior and analysis Must-Have Traits Strong academic background in Electronics Engineering (Bachelor's degree preferred) Experience in teaching, tutoring, or creating content in the field is a plus Familiarity with AI, machine learning, or data annotation workflows is beneficial Strong analytical thinking and meticulous attention to detail Why Join Us Competitive hourly pay of up to ?1,500 (may vary by project) Fully remote role with flexible work hours Opportunity to shape the future of AI in electronics and embedded systems

Key Deliverables: Annotate and refine AI training data specific to Physics topics Evaluate AI-generated outputs for scientific accuracy and logical reasoning Create problem sets and step-by-step solutions aligned with AI training goals Collaborate with AI research teams to enhance AI's comprehension of physics Role Responsibilities: Apply deep subject matter expertise to develop high-quality learning content Support the development of AI through RLHF and SFT methodologies Review AI performance in real-time academic simulations Work remotely with flexible hours while contributing to cutting-edge projects

Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. Who you are & how you can contribute. We are looking for highly skilled Electronics Engineers (freelancers) to contribute to AI training through data annotation and domain-specific expertise. This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AIs understanding and performance. Key Responsibilities: Validate and refine AI-assisted circuit and embedded system designs. Review AI-generated PCB layouts and microcontroller-based solutions. Contribute to training AI models in electronic component analysis. Must Required Traits: Strong academic background in Electronics Engineering (PhD preferred). Teaching, tutoring, or content creation experience in the field is a plus. Familiarity with AI, machine learning, or data annotation is beneficial. Strong analytical skills and attention to detail. Why join us Competitive hourly pay upto 1500 per hour. Fully remote and flexible work schedule. Opportunity to contribute to the advancement of AI technology. NOTE-Pay will vary by project and typically is up to 1500 per hour. If you work an average of 3 hours every day, you could earn up to 90,000 per month once you clear our screening process.

We are seeking a Biology expert with an BSc degree The role involves working on data annotation and model refinement for AI through RLHF and SFT techniques This fully remote position allows for flexible work hours while contributing to AIs advancement What you will be doing Annotate Biology-related data to improve AI comprehension Provide feedback on AI-generated responses to ensure scientific accuracy Assist in developing problem sets and solutions for AI training Collaborate with AI researchers to refine AI capabilities in the field of Biology Must Required Traits: Strong academic background in Biology Experience in Biology education, research, or content creation preferred Familiarity with AI, machine learning, or data annotation is a plus Excellent problem-solving and analytical skills

We are seeking a Biology expert with an BSc degree The role involves working on data annotation and model refinement for AI through RLHF and SFT techniques This fully remote position allows for flexible work hours while contributing to AIs advancement What you will be doing Annotate Biology-related data to improve AI comprehension Provide feedback on AI-generated responses to ensure scientific accuracy Assist in developing problem sets and solutions for AI training Collaborate with AI researchers to refine AI capabilities in the field of Biology Must Required Traits: Strong academic background in Biology Experience in Biology education, research, or content creation preferred Familiarity with AI, machine learning, or data annotation is a plus Excellent problem-solving and analytical skills

We are seeking a Biology expert with an BSc degree The role involves working on data annotation and model refinement for AI through RLHF and SFT techniques This fully remote position allows for flexible work hours while contributing to AIs advancement What you will be doing Annotate Biology-related data to improve AI comprehension Provide feedback on AI-generated responses to ensure scientific accuracy Assist in developing problem sets and solutions for AI training Collaborate with AI researchers to refine AI capabilities in the field of Biology Must Required Traits: Strong academic background in Biology Experience in Biology education, research, or content creation preferred Familiarity with AI, machine learning, or data annotation is a plus Excellent problem-solving and analytical skills

Are you an MLOps Engineer ready to elevate your expertise Soul AI (by Deccan AI) is building a high-caliber network of professionals to collaborate on cutting-edge AI initiatives. This is your chance to solve real-world AI challenges alongside industry leaders. Why Join Compensation above market standards Flexible contract durations (2 to 12 months) Opportunities for freelance or contract-based work Work remotely, onsite with clients, or from Soul AI offices in Hyderabad or Bangalore Become part of an exclusive community of AI experts Your Role Architect and optimize ML infrastructure using Kubeflow, MLflow, and SageMaker Pipelines Build and maintain CI/CD workflows with GitHub Actions, Jenkins, GitLab CI/CD Automate full ML pipelines for feature engineering, model retraining, and deployment Scale ML models using Docker, Kubernetes, and Airflow Ensure observability, security, and cost optimization in AWS, GCP, or Azure environments Must-Have Skills Proficiency in Python, TensorFlow, PyTorch, and CI/CD tooling Experience with cloud ML platforms (AWS SageMaker, GCP Vertex AI, Azure ML) Familiarity with monitoring tools such as MLflow, Prometheus, Grafana Working knowledge of distributed data systems (e.g., Apache Spark, Kafka) Bonus Skills Experience with A/B testing, canary deployments, and serverless ML infrastructure Exposure to generative AI and scalable deployment of LLMs Next Steps Register on the Soul AI website Get shortlisted by the team Clear screening rounds and join the expert community Get matched with top-tier AI projects

Key Deliverables: Annotate AI-generated manufacturing workflows and systems Improve AI comprehension of lean principles and automation Evaluate production process models for optimization accuracy Contribute engineering expertise to enhance AI training datasets Role Responsibilities: Review and refine manufacturing-related AI outputs Collaborate with technical teams to simulate industrial processes Apply domain insights to AI-driven factory systems Maintain precision in reviewing annotated industrial data

Key Deliverables: Evaluate and validate AI-generated electrical circuit designs Annotate datasets related to power distribution and load systems Ensure technical accuracy in electrical load assessments Support AI model training with expert domain feedback Role Responsibilities: Apply electrical engineering expertise to refine AI understanding Collaborate with technical teams on circuit and power data workflows Review and correct AI predictions for electrical system behavior Uphold high precision in data analysis and annotation tasks

Annotate AI-generated vehicle designs and performance models. Provide insights on AI-driven simulations of automotive systems. Improve AIs ability to analyze mechanical and electrical automotive components. Must Required Traits:. Strong academic background in Automotive Engineering (BSc preferred). Teaching, tutoring, or content creation experience in the field is a plus Familiarity with AI, machine learning, or data annotation is beneficial. Strong analytical skills and attention to detail.

We're looking for highly skilled Mining Engineers (freelancers) to contribute to AI training through data annotation and domain-specific expertise. This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your knowledge to refine AI's understanding and performance in the mining sector. Key Responsibilities: Assess AI-generated mining and geological models. Provide technical feedback on AI-driven excavation and drilling solutions. Enhance AI's understanding of geotechnical assessments. Must-Have Traits: Strong academic background in Mining Engineering (BSc preferred). Teaching, tutoring, or content creation experience in the field is a plus. Familiarity with AI, machine learning, or data annotation is beneficial. Strong analytical skills and attention to detail.

Key Responsibilities: Assess AI-generated mining and geological models Provide technical feedback on AI-driven excavation and drilling solutions Enhance AIs understanding of geotechnical assessments Must Required Traits: Strong academic background in Mining Engineering (PhD preferred) Teaching, tutoring, or content creation experience in the field is a plus Familiarity with AI, machine learning, or data annotation is beneficial Strong analytical skills and attention to detail

Key Responsibilities: Assess AI-generated mining and geological models Provide technical feedback on AI-driven excavation and drilling solutions Enhance AIs understanding of geotechnical assessments Must Required Traits: Strong academic background in Mining Engineering (PhD preferred) Teaching, tutoring, or content creation experience in the field is a plus Familiarity with AI, machine learning, or data annotation is beneficial Strong analytical skills and attention to detail

Key Responsibilities: Assess AI-generated mining and geological models Provide technical feedback on AI-driven excavation and drilling solutions Enhance AIs understanding of geotechnical assessments Must Required Traits: Strong academic background in Mining Engineering (PhD preferred) Teaching, tutoring, or content creation experience in the field is a plus Familiarity with AI, machine learning, or data annotation is beneficial Strong analytical skills and attention to detail

Key Responsibilities: Analyze and refine AI-generated chemical process models Ensure accuracy in chemical formulations and reactions Work on AI training datasets for industrial chemistry applications Must Required Traits: Strong academic background in Chemical Engineering (MSc preferred) Teaching, tutoring, or content creation experience in the field is a plus Familiarity with AI, machine learning, or data annotation is beneficial Strong analytical skills and attention to detail

Key Responsibilities: Analyze and refine AI-generated chemical process models Ensure accuracy in chemical formulations and reactions Work on AI training datasets for industrial chemistry applications Must Required Traits: Strong academic background in Chemical Engineering (MSc preferred) Teaching, tutoring, or content creation experience in the field is a plus Familiarity with AI, machine learning, or data annotation is beneficial Strong analytical skills and attention to detail