Physicist (PhD), Part-Time AI Statistical Physics Training - Remote (United States)
$100 per hourOpenTrain AI
- Remote job
Job Description
• $100–$200 per hour
\n• 100% remote
\n• Part-time
\n• 5 to 10 or more hours a week, you choose when
\n \nWork on the cutting edge of AI physics reasoning, on your own schedule, and get paid for the research expertise you already have.
\n \nThe AI systems everyone is talking about are trained and tested by real physicists. The teams building them need experts who can work through realistic, difficult physics problems, judge how well an AI handles them, write the solution a physicist would give, and explain exactly where the reasoning falls short. Your judgment becomes part of how the next generation of AI models reasons about advanced science. This is that work, done remotely around your current research or job.
\n \nWhat you'll do
\n• Solve difficult theoretical physics problems involving statistical physics and quantum information
\n• Audit and adjudicate solutions involving duality and quenched disorder averaging
\n• Write clear, documented expert solutions for problems involving Potts model simulations and domain-wall free energy
\n• Explain where a solution goes wrong, including issues with loop defects and topological quantum codes
\n \nWhy this is worth your time
\n• Get paid $100–$200 an hour to build real AI skills, on top of your current job
\n• Work directly with frontier AI tools and see how they are built, tested and improved, experience most physicists will not have for years
\n• Build a career edge for what comes next: AI is reshaping physics research, and the people who understand it from the inside will lead that change
\n• Fully remote and flexible, no fixed shifts, no commute
\n \nWho this is for
\n• A PhD or equivalent experience in physics, specializing in statistical physics, quantum information or condensed matter theory
\n• Hands-on research experience with methods such as Kramers-Wannier duality, quenched disorder averaging, square-lattice self-duality, 4-state Potts model simulations, domain-wall free energy or topological quantum codes
\n• Fluency in English
\n• No AI experience needed. You bring the expertise; we bring the training on the tools.
\n \nPay and details
\n• $100–$200 per hour, paid hourly as an independent contractor
\n• 5 to 10 or more hours a week, you choose when; fully remote, United States
\n \nHow to apply
\n1. Apply on OpenTrain (about two minutes; upload your resume).
\n2. Complete a short application on the hiring platform.
\n3. If shortlisted, take a short AI interview. Most people hear back within days.
\n \nReady to put your physics expertise to work at the frontier of AI? Apply today.
\n \nAbout OpenTrain AI
\nOpenTrain AI connects experienced professionals with paid, part-time AI training work: shaping and improving the AI systems that companies are building right now.
$100 per hour
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