Data annotation job
Physicist
DataAnnotation · Posted 1 week ago
- STEM
- AI evaluation
About this role
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.
Compensation
$75 to $125+/hr depending on task difficulty and specialization. Many contributors add $10k to $100k+ a year; some make it their full-time income.
About DataAnnotation
DataAnnotation is where 100k+ experts train the world’s leading AI models. $150M+ paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.
Terms
- Engagement: Independent contractor
- Hours: Flexible hours
- Location: Remote
- Payouts: Weekly
This listing is aggregated by DataAnnotationJobs.org. Applications are processed by DataAnnotation, not by this site.
DataAnnotation hires remote contractors to train and evaluate AI models, from generalist review work to specialist tracks in coding, law, medicine, and finance. Its own site reports more than 100,000 contributors and over $150M paid out to date. See all DataAnnotation jobs.
Apply for this role
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