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First seen by Alion on Nov 3, 2026.

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Headquartered in Seattle, Washington, OpenTrain AI is a specialized freelance talent marketplace and human-in-the-loop data solutions platform. Founded in 2022, the company connects artificial intelligence developers and machine learning teams with vetted global AI trainers, subject-matter experts, and data labelers. The platform supports workflows across natural language processing (NLP), computer vision, audio transcription, and RLHF (Reinforcement Learning from Human Feedback), integrating directly with third-party data annotation tools while managing global contractor compliance, quality assurance, and international payments.
  • $100-$200 per hour
  • 100% remote
  • Part-time
  • 5 or more hours a week, you choose when

Work flexibly on part-time theoretical physics projects that turn statistical-mechanics and quantum-code problems into checked solutions for AI training and evaluation.

AI systems learn from worked examples, expert answers and careful ratings. Teams building research-grade models need physicists who can solve, audit and adjudicate hard theoretical problems, and say clearly where a solution goes wrong. Your evaluations help improve the accuracy and reasoning of scientific AI answers. This is remote, part-time contractor work applying your statistical-physics expertise to AI evaluation.

What you'll do

  • Work through problems on the Nishimori line, toric-code thresholds, and replicated random-bond Ising and Ashkin-Teller models
  • Write documented solutions or critiques using square-lattice self-duality, Kramers-Wannier duality, quenched disorder averaging and domain-wall free energy
  • Run 4-state Potts model simulations, interpret the results, and look into noncontractible loop defects and other topological features
  • Take the Solver, Auditor or Adjudicator role on assigned projects

Why this is worth your time

  • Earn $100-$200 an hour solving and reviewing theoretical physics problems from your own subfield
  • Work on problems taken from statistical physics, topological quantum codes and condensed matter theory
  • Apply your research judgment to check whether AI-generated physics solutions are correct and well supported
  • Fully remote and flexible, no fixed shifts, no commute

Who this is for

  • A physics PhD or equivalent experience, with a specialty in statistical physics, quantum information or condensed matter theory
  • Hands-on experience with square-lattice self-duality, Kramers-Wannier duality and quenched disorder averaging
  • Numerical simulation and analysis work on domain-wall free energy and the 4-state Potts model
  • Knowledge of topological quantum codes, above all the toric code and its threshold behavior
  • Fluent in English
  • Helpful: Python, SymPy, Jupyter, and LaTeX, plus a strong record of 3 to 5 relevant papers published in the last 5 years
  • No AI experience needed. You bring the physics expertise; your judgment helps evaluate and improve AI-generated physics solutions.

Pay and details

  • $100-$200 per hour, paid hourly as an independent contractor
  • Part-time, flexible schedule; fully remote, United States

How to apply

1. Apply on OpenTrain (about two minutes): https://app.opentrain.ai/api/out/cmtsgfmtw000609gm16v0atwd?ch=interlinkjobs&sub=p_cmtsgfmtw000609gm16v0atwd

2. Complete a short application on the hiring platform.

3. If shortlisted, take a conversational AI interview with technical questions and a coding challenge, whenever it suits you.

Ready to apply your statistical-physics judgment to checked solutions for AI evaluation? Apply today.

About OpenTrain AI

OpenTrain AI connects experienced professionals with paid, part-time AI training work: shaping and improving the AI systems that companies are building right now.

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