798 Data Annotation Jobs - Page 9

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: 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 (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

We're looking for a Biology expert with an MSc degree to contribute to cutting-edge AI advancement. This fully remote position offers flexible work hours and is focused on data annotation and model refinement for AI through RLHF (Reinforcement Learning from Human Feedback) and SFT (Supervised Fine-Tuning) techniques. What You'll 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-Have Traits: Strong academic background in Biology. Experience in Biology education, research, or content creation is preferred. Familiarity with AI, machine learning, or data annotation is a plus. Excellent problem-solving and analytical skills.

Annotate complex physics-related content to improve AI comprehension and accuracy. Evaluate and provide feedback on AI-generated outputs to ensure scientific correctness. Develop and review problem sets, solutions, and conceptual explanations for AI training. Collaborate with AI researchers and engineers to refine AI performance in the physics domain. Required Qualifications PhD in Physics or closely related field. Strong academic foundation and in-depth subject expertise. Experience in teaching , research , or educational content creation is highly preferred. Familiarity with AI/ML concepts or previous data annotation work is a plus. Excellent problem-solving skills and attention to detail.

Annotate complex physics-related content to improve AI comprehension and accuracy. Evaluate and provide feedback on AI-generated outputs to ensure scientific correctness. Develop and review problem sets, solutions, and conceptual explanations for AI training. Collaborate with AI researchers and engineers to refine AI performance in the physics domain. Required Qualifications PhD in Physics or closely related field. Strong academic foundation and in-depth subject expertise. Experience in teaching , research , or educational content creation is highly preferred. Familiarity with AI/ML concepts or previous data annotation work is a plus. Excellent problem-solving skills and attention to detail.

Annotate complex physics-related content to improve AI comprehension and accuracy. Evaluate and provide feedback on AI-generated outputs to ensure scientific correctness. Develop and review problem sets, solutions, and conceptual explanations for AI training. Collaborate with AI researchers and engineers to refine AI performance in the physics domain. Required Qualifications PhD in Physics or closely related field. Strong academic foundation and in-depth subject expertise. Experience in teaching , research , or educational content creation is highly preferred. Familiarity with AI/ML concepts or previous data annotation work is a plus. Excellent problem-solving skills and attention to detail.

Key Responsibilities Analyze and annotate mechanical designs to improve AI training data. Review and provide feedback on AI-generated CAD models and mechanical simulations. Evaluate engineering calculations and problem-solving approaches. Collaborate with the team to enhance AI accuracy and performance. Required Qualifications Strong academic background in Mechanical Engineering (MSc preferred). Experience in teaching, tutoring, or content creation in mechanical engineering is a plus. Familiarity with AI, machine learning, or data annotation tools is beneficial. Excellent analytical skills with keen attention to detail.

We are seeking highly skilled Electronics Engineers (freelancers) to support our AI development initiatives. In this role, you'll contribute your domain expertise to train and fine-tune AI systems by validating, annotating, and evaluating circuit designs, embedded systems, and PCB layouts. This is a remote, project-based opportunity with flexible hours, ideal for engineers passionate about the intersection of electronics and artificial intelligence. Key Responsibilities Validate and refine AI-assisted circuit and embedded system designs . Review and annotate AI-generated PCB layouts and microcontroller-based solutions . Provide subject-matter insights to train AI models in electronic component analysis . Ensure high standards of technical accuracy, clarity, and relevance in all annotation work. Must-Have Traits Strong academic background in Electronics Engineering (PhD preferred, but not mandatory). Prior experience in teaching , tutoring , or technical content creation is a plus. Familiarity with AI, machine learning , or data annotation tools is beneficial. Excellent analytical thinking and a strong attention to detail .

Annotate Physics-related content to improve AI comprehension. Provide detailed feedback on AI-generated responses to ensure scientific accuracy. Assist in developing high-quality problem sets and detailed solutions for AI training purposes. Collaborate with AI researchers to enhance the model's reasoning and accuracy in Physics topics. Required Qualifications Strong academic background in Physics (MSc or higher). Experience in Physics education, research, or academic content creation. Excellent analytical and problem-solving skills. Familiarity with AI concepts, machine learning, or data annotation is a plus. Clear and precise written communication skills.

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 (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. 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.

Key Deliverables: Review and refine AI-generated chemical process models Ensure accuracy of chemical formulations and industrial applications Contribute domain expertise to AI training datasets Support development of AI tools for chemical process understanding Role Responsibilities: Apply deep chemical knowledge to validate and enhance AI output Collaborate with AI teams to ensure scientific precision and consistency Use data annotation tools to label and structure chemical content Participate in content development aligned with real-world applications

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 (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.

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-generated Chemistry content based on K10 standards Ensure scientific accuracy in topics like reactions, acids-bases, and periodic table Design student-friendly prompts and evaluate AI explanations for clarity Provide feedback to enhance AI's conceptual accuracy and engagement Role Responsibilities: Break down complex chemistry concepts for age-appropriate understanding Collaborate with AI teams to embed educational best practices Review AI content to ensure alignment with curriculum guidelines Use teaching experience to enhance the learning effectiveness of AI outputs

Key Deliverables: Annotate biology-related data to enhance AI training accuracy Evaluate and improve AI-generated biological responses using RLHF/SFT Develop structured problem sets and solutions for AI learning Collaborate with AI teams to improve domain-specific comprehension Role Responsibilities: Ensure scientific validity of annotated content and model outputs Support AI refinement with expert feedback and insights Apply biology expertise to support machine learning use cases Contribute to educational and research-quality content development

Key Deliverables: Annotate and validate K10-level math content for AI training Create prompts and tasks simulating real-world math scenarios Provide clear and accurate explanations for mathematical concepts Review and refine AI-generated outputs for quality and consistency Role Responsibilities: Break down complex math topics into simple, teachable formats Collaborate with AI teams to enhance reasoning and teaching logic Align AI training data with curriculum standards and pedagogy Use subject expertise to simulate effective instructional strategies

We are seeking highly skilled Chemical Engineers (freelancers) to contribute to cutting-edge AI training initiatives. You'll apply your domain expertise to annotate data and refine AI models focused on industrial chemistry, formulations, and reactions. Key Responsibilities: Analyze and refine AI-generated chemical process models. Ensure accuracy and consistency in chemical formulations and reaction datasets. Work on AI training datasets, particularly for industrial chemistry applications. Must-Have Qualifications & Traits: Strong academic background in Chemical Engineering (PhD preferred). Experience in teaching, tutoring, or content creation is a strong plus. Familiarity with AI, machine learning, or data annotation is beneficial. Excellent analytical skills and attention to detail .

Key Deliverables: Annotate biology-specific data to support AI training models Provide scientifically accurate feedback on AI-generated outputs Develop biology problem sets and solutions for RLHF/SFT use Collaborate with AI researchers to refine model understanding of biology Role Responsibilities: Apply domain expertise to improve AI comprehension of biological concepts Ensure factual correctness and clarity in educational content Participate in AI model refinement through structured annotations Support curriculum design and dataset quality control for biology AI projects

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 (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.

Who you are & how you can contribute We are seeking a Chemistry expert with an MSc 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.

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.

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. . We are seeking a dedicated Geometry Tutor (freelancer) to help students master key geometric concepts. This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your knowledge of geometry to improve AIs understanding and performance in teaching this subject. Key Responsibilities:. Annotate and evaluate AI-generated Geometry content. Design prompts and assess AI responses for clarity, relevance, and mathematical accuracy in Geometry concepts. Ensure accurate and student-friendly explanations of topics like angles, shapes, surface area, volume, and geometric proofs. Provide feedback to enhance the AIs instructional quality and improve the learning experience. Collaborate with AI teams to integrate best practices from Geometry education into AI-driven solutions. Required Qualifications:. Bachelors degree in Mathematics, Education, or a related field. Strong knowledge of Geometry. Excellent communication skills with a passion for teaching. Prior experience in tutoring or teaching Geometry preferred. Why join us. Competitive hourly payupto 1500 per hour. Fully remote and flexible work schedule. Opportunity to contribute to the advancement of AI technology. NOTEPay 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 looking for highly skilled Chemical Engineers to contribute to AI training through data annotation and domain-specific expertise. This remote, flexible opportunity lets you work on cutting-edge AI projects, applying your knowledge to enhance AI's understanding and performance in chemical engineering. Key Responsibilities Analyze and refine AI-generated chemical process models. Ensure accuracy and validity in chemical formulations and reaction mechanisms. Work with AI training datasets focused on industrial chemistry applications. Must-Have Traits Strong academic background in Chemical Engineering (PhD preferred). Experience in teaching, tutoring, or content creation in chemical engineering is a plus. Familiarity with AI, machine learning, or data annotation is beneficial. Strong analytical skills and meticulous attention to detail.

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.

We are seeking highly skilled Manufacturing Engineers (freelancers) to contribute to AI training through expert data annotation and domain-specific insights. This is a remote and flexible opportunity to work on cutting-edge AI projects, applying your deep knowledge of manufacturing systems to improve AI understanding and performance. Responsibilities Annotate AI-driven manufacturing processes and workflows Provide expert insights into automation systems and lean manufacturing practices Enhance AI models understanding of production system optimization and efficiency Must-Have Traits Strong academic background in Manufacturing Engineering (PhD preferred) Experience in teaching, tutoring, or content development in the domain is a plus Familiarity with AI, machine learning, or data annotation workflows is beneficial Excellent analytical skills and strong attention to detail Why Join Us Competitive hourly pay of up to ?1,500 (project-based compensation may vary) Fully remote role with complete flexibility over your work schedule Opportunity to contribute to the development of AI technologies in the manufacturing space