AI & Emerging technologies

Fluid Dynamics Engineer - AI Trainer

DataAnnotation

Toronto · Ontario, Quebec, Alberta, Metro Vancouver Regional District, Capitale Nationale, Division No. 11, Ontario, Peel Region, Moncton Parish · Canada

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

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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Reference: WJ-4703_9441972

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