Physicists craft problems that expose weak reasoning, then review AI solutions for dimensional errors and skipped steps. The work suits graduate-trained physicists who can write a clear reference solution across at least two core areas.
नौकरी के बारे में
Overview
Models can recite physics and still get it wrong: dimensional errors, misapplied approximations, and derivations that skip the step where the physics actually happens.
As a Physicist you'll evaluate AI reasoning across mechanics, E&M, quantum, and thermodynamics, and write solutions with the care of a good problem-set grader.
What you’ll actually do
- Craft problems that expose weak physical reasoning, from undergraduate mechanics to graduate-level theory.
- Review AI solutions for dimensional errors, misapplied approximations, and skipped steps, and rate the reasoning.
- Write the gold-standard solution when the model falls short, showing the physics clearly at every step.
Roles this fits
Common backgrounds: Physicist, Research Scientist.
What we look for
- Graduate-level physics background or equivalent research experience.
- Comfort working problems across at least two core areas of physics.
- Clear written English: your explanations are the training signal.
- No degree required. We care about what you can do, not where you learned it.
How it works
Apply
Work & get paid
Compensation
Up to $125+/hr depending on task difficulty and specialization. Many contributors add $100k–$200k a year; some make it their full-time income.
About DataAnnotation
DataAnnotation is where 1M+ experts train the world’s leading AI models. Hundreds of millions paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.
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