Physics Expert - Remote AI Model Evaluation

What You'll Do6

• Write physics problems from your own research area, defining the system, assumptions, regime, and the reference answer that anchors grading for a model attempt.
• Grade model-written derivations and numerical answers, checking whether approximations remain valid in the stated regime.
• Test limiting cases, units, and scaling in model solutions to confirm the final result survives scrutiny.
• Flag answers where a model lands on the correct expression through reasoning that would fail under different assumptions.
• Explain your grading decisions in writing so project teams can trace the calls you made.
• Raise unclear task instructions or ambiguous project specs instead of guessing.

Requirements5

• Graduate degree in physics or a related field, backed by research experience.
• Recent hands-on work with derivations and analysis that you can explain in detail.
• Clear written communication for grading notes and reasoning explanations.
• Comfort with ambiguous tasks and incomplete instructions.
• Willingness to flag unclear specs rather than proceed on guesswork.

Who Should Apply

The ideal candidate holds a graduate degree in physics or a related field and has done research-level derivations recent enough to defend each step. You write well because grading model work means explaining why an approximation fails or a limiting case breaks. This role fits physicists who can handle vague prompts and will ask for missing details instead of filling gaps with assumptions. The work suits less those who want a fixed schedule, one long-term project, or tasks that avoid written justification. Candidates often lose fit when their resume lists research topics but shows no personal derivations or analysis, or when they cannot point to recent physics work.

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