Physicist (PhD), Statistical Physics, Quantum Information & Condensed Matter

You will contribute expert physics knowledge to an AI training project focused on theoretical physics and numerical benchmarking. No prior AI training experience is required.

Assignments may involve serving as a Solver, Auditor, or Adjudicator, depending on your experience and area of expertise.

• Analyze statistical physics problems involving replicated random-bond Ising and Ashkin-Teller models, the toric-code threshold, and the Nishimori line.
• Write clear, well-documented solutions or critiques involving Kramers-Wannier duality, quenched disorder averaging, square-lattice self-duality, and domain-wall free energy.
• Carry out and interpret numerical work, especially simulations of the 4-state Potts model.
• Investigate technical issues involving noncontractible loop defects and related topological features.

What it pays and takes

This is a part-time, fully remote contractor role for an experienced physics specialist. The work requires advanced knowledge of statistical physics, quantum information, or condensed matter theory.

• Pay: $100 to $200 per hour.
• Schedule: Flexible, with 5 to 10 or more hours per week.
• Location: remote, open to applicants in the United States.
• Required: A PhD or equivalent experience in physics, with specialization in statistical physics, quantum information, or condensed matter theory.
• Required: Hands-on experience with Kramers-Wannier duality, quenched disorder averaging, and square-lattice self-duality.
• Required: Experience with 4-state Potts model simulations and domain-wall free energy analysis.
• Required: Familiarity with topological quantum codes, especially the toric code and its threshold phenomena.
• Helpful: Experience with Python, SymPy, Jupyter, or LaTeX.
• Helpful: Three to five representative publications from the past five years in relevant research methods.

How it works

You apply here in about two minutes; the application finishes on the hiring platform, with a short AI interview if you are shortlisted.

About AI training work

AI training is the human work behind systems that learn from examples, including reviewing answers, solving technical problems, and rating model outputs. Experts are paid to provide accurate subject knowledge that helps models handle difficult real-world questions.