Physics Graduate for AI Content Evaluation

Physics master’s students and graduates apply their training to evaluate AI-generated physics and math content, improving models'' physical reasoning, mathematical modeling, and technical problem solving through detailed feedback.

• Design domain-relevant, mathematically rigorous questions and prompts that test physical reasoning and modeling skills.
• Review AI-generated responses for correctness, logical consistency, and mathematical rigor.
• Provide clear, actionable feedback to help improve model outputs on technical physics problems.
• Document errors, edge cases, and common failure modes in AI responses.

• Current master’s students or graduates in Physics or closely related fields, for example Applied Physics, Astrophysics, or Engineering Physics.
• Strong background in physical reasoning, mathematical modeling, and analytical problem solving.
• Comfort working with mathematical derivations and technical explanations. No prior AI or machine-learning experience required.

• Engagement type: part-time, hourly contract work conducted remotely.
• Schedule: flexible and asynchronous, with no minimum hour requirement.
• Typical commitment when active on a project: approximately 5 to 20 hours per week.
• This is not a traditional academic or full-time role and can be done alongside coursework, research, teaching, or industry employment.
• Placement on specific projects depends on current project needs; contributors may be considered for future projects as opportunities arise.

• Pay rate: Up to $50/hr (depending on the project).

• F-1 students who are eligible for CPT or OPT may be eligible to participate. Consult your Designated School Official to confirm whether this work meets your school’s CPT or OPT requirements.
• If your school requires enrollment in a CPT course, this type of contract work may not satisfy that requirement.
• STEM OPT is not supported for this engagement.

• Create an account on the program platform and complete the required identity verification.
• Enroll in and complete onboarding for projects that match your background.
• Begin reviewing tasks and submitting feedback for pay once onboarded to a project.