Physicist (PhD), Part-Time AI Physics Evaluation
OpenTrain AI$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=workreap&sub=workreap-cmtsgfmtw-us-2026-11
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.