Position:
STEM Subject Matter Expert (Mathematics, Physics, Chemistry & Biology)

Type:
Full-time & Contract Opportunities

Compensation:
$30–$90/hour
*(Role dependent)*

Location: Remote

About This Opportunity

NearSkill is hiring experienced Mathematics, Physics, Chemistry, and Biology Experts for exciting opportunities with AI companies, research organizations, EdTech platforms, universities, healthcare organizations, and global technology firms. By applying through this role, you'll be considered for multiple positions that match your academic background, research expertise, and qualified experience.

These opportunities include AI model training and evaluation, scientific research, technical content creation, curriculum development, problem solving, dataset generation, scientific review, and subject matter consulting. Whether you're an educator, researcher, industry professional, or advanced graduate, your domain expertise can help shape the next generation of AI technologies.

What You'll Work On
- Solve and review advanced Mathematics, Physics, Chemistry,



or Biology problems.
- Evaluate AI-generated answers for scientific accuracy, logical reasoning, and completeness.
- Create high-quality questions, solutions, datasets, and educational content.
- Review scientific literature, research papers, and technical documentation.
- Explain complex scientific concepts in a clear and structured manner.
- Develop evaluation criteria and provide expert feedback to improve AI model performance.
- Collaborate with multidisciplinary teams on AI, research, and educational projects.
- Maintain high standards of accuracy, consistency, and scientific integrity across all deliverables.

Requirements
- Bachelor's, Master's, or PhD in Mathematics, Physics, Chemistry, Biology, or a related STEM discipline.
- Strong subject matter expertise in one or more STEM domains.
- Excellent analytical, research, and problem-solving abilities.
- Experience in teaching, research, industry,

📌 Subject Matter Expert (India)
🏢 NearSkill
📍 India