Physics Expert

Contribute physics judgment to AI research

This continuing talent pool connects physicists with AI training and evaluation projects. It remains open between assignments because new projects can begin with little notice; registration concerns future matching rather than an advertised vacancy. Your professional judgment helps set the standards used to assess advanced AI systems.

Potential project work

• Build a problem in your research area that defines the physical system, assumptions, and operating regime, alongside an answer for grading.
• Assess generated derivations and calculations for valid approximations, sensible limiting behavior, consistent units, and defensible scaling.
• Identify correct final expressions reached through reasoning that breaks when the stated assumptions change.

Background and fit

A graduate qualification in physics or a related subject, together with research experience, is expected. You should explain decisions clearly in writing, work thoughtfully when a task is ambiguous, and raise questions when instructions need clarification.

Direct, sufficiently recent experience carrying out derivations and analysis matters more than the institution where you trained. You should be able to explain the choices you made yourself.

Rates and project matching

Earlier physics assignments have paid $70 to $100 per hour. Each assignment sets compensation according to its scope and the depth of expertise needed.

Registration involves submitting your resume, confirming your working location, and completing a short interview conducted by AI; the process takes about 20 minutes in total. Your background is checked before you are added to the physics pool.

When a project needs your experience, suitable participants receive an invitation to a separate listing with its rate, hours, and client details. Selection decisions are made for that assignment, so this standing listing does not issue acceptance or rejection decisions.

Contact may follow within a week or after several months, depending on available work. Completing the domain interview and enrolling in all relevant networks improves matching prospects; a single registration can support eligibility across those networks.