Simulation Researcher - AI Trainer

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.

• 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.

Common backgrounds:
Physicist, Research Scientist.

• 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.

Up to $40 – $125+/hr depending on task difficulty and specialization. Many contributors add $10k–$100k+ a year; some make it their full-time income.

Data Annotation 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.