Physics Expert PhD (Statistical Physics / Quantum Information / Condensed Matter)

Theoretical physicists join a research-heavy project that pairs theory with numerical benchmarking. Topics include random-bond Ising and Ashkin-Teller systems, the toric-code threshold, the Nishimori line, Kramers-Wannier duality and 4-state Potts simulations. Depending on experience, contributors act as Solver, Auditor or Adjudicator, producing or checking documented solutions that help train AI models.

What you would do

• Analyze statistical physics problems such as replicated random-bond Ising models
• Write or critique solutions involving duality, disorder averaging and domain-wall free energy
• Run and interpret 4-state Potts model simulations
• Serve as Solver, Auditor or Adjudicator on assigned work

What the listing asks for

• Preferred: PhD or comparable experience, specializing in statistical physics, condensed matter theory or quantum information
• Preferred: hands-on use of Kramers-Wannier duality and quenched disorder averaging
• Preferred: numerical simulation skill with the 4-state Potts model
• Preferred: familiarity with topological quantum codes and toric code thresholds

Suits professionals who are theoretical physicists comfortable with both analytic duality arguments and numerical simulation, working part-time on flexible hours.

The listing does not state a rate. Where: Remote, worldwide. Time: 5 to 10+ hours a week, fully flexible including after hours and weekends. Contract work for micro1, a company that hires experts for AI training projects.

Applications go through micro1's own site. AI Trainer Guide is an independent guide to AI training work, not micro1 or its recruiter. The apply link on our page is a referral link: micro1 may pay us if it hires you, at no cost to you.