Physics Expert in Statistical Physics for AI Training

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We connect qualified contributors with cutting-edge projects, help them build a professional profile, and make it easy to apply and grow in this rapidly expanding field.

• Free account creation and streamlined applications
• Opportunities to build a lasting AI training career
• Remote work accessible from anywhere worldwide

About AI Training Work

AI training is the human side of building modern artificial intelligence. Experts review, solve, explain, and evaluate challenging material so AI systems can learn to reason more accurately and perform reliably. Specialized contributors bring the subject knowledge that general-purpose models cannot develop on their own.

• Work directly on next-generation AI systems
• Apply your existing academic or professional expertise
• Choose flexible part-time work that fits your schedule

The Physics Expert Role

OpenTrain is seeking a Physics Expert specializing in statistical physics, quantum information, or condensed matter theory for a research-driven project at the intersection of theoretical physics and numerical benchmarking. You will provide high-quality expert input that helps train AI systems to learn, reason, and perform on advanced physics problems.

This is a fully remote, part-time contractor role requiring 5-10+ hours per week. The schedule is flexible, and no prior AI training experience is required.

• Pay: $100-$200 per hour
• Workload: 5-10+ hours per week
• Employment type: Part-time contractor
• Work arrangement: Fully remote, worldwide

What You’ll Do

You may participate as a Solver, Auditor, or Adjudicator on assignments aligned with your experience and subfield strengths. Your work will involve both technical problem solving and careful evaluation of solutions, critiques, and numerical results.

• Analyze complex statistical physics phenomena involving replicated random-bond Ising and Ashkin-Teller models, the toric-code threshold, and the Nishimori line.
• Provide clear, well-documented solutions or critiques involving Kramers-Wannier duality, quenched disorder averaging, square-lattice self-duality, and domain-wall free energy.
• Perform and interpret advanced numerical work involving 4-state Potts model simulations.
• Identify, discuss, and resolve technical challenges involving noncontractible loop defects and related topological features.
• Contribute as a Solver, Auditor, or Adjudicator according to your expertise.

Required Qualifications

This role requires an advanced academic background or equivalent practical experience in physics, with a specialization in statistical physics, quantum information, or condensed matter theory. Candidates should have direct research or project experience with the listed theoretical and numerical methods.

• PhD or equivalent experience in physics
• Specialization in statistical physics, quantum information, or condensed matter theory
• Hands-on experience with Kramers-Wannier duality, quenched disorder averaging, and square-lattice self-duality
• Proficiency in 4-state Potts model numerical simulations
• Experience analyzing domain-wall free energy
• Familiarity with topological quantum codes, especially the toric code and its threshold phenomena

Helpful Background

Experience with research and technical communication tools can support success in this role. A publication record demonstrating recent work in relevant research methods is also helpful.

• Python
• SymPy
• Jupyter
• LaTeX
• Three to five representative publications from the past five years in relevant research methods

Who Should Apply

This opportunity is designed for physicists who want to apply deep theoretical and computational knowledge to the development of AI. It may suit researchers and advanced practitioners with strong expertise in statistical physics, quantum information, or condensed matter theory, even if they have not previously worked in AI training.

• Researchers with advanced theoretical physics expertise
• Physicists experienced in statistical models, topological codes, or numerical benchmarking
• Experts who can explain complex technical reasoning clearly
• Candidates seeking flexible, high-value remote project work

How to Get Started

Create a free OpenTrain account, build your profile around your physics expertise, and apply to this project. If selected for relevant assignments, you will contribute as a Solver, Auditor, or Adjudicator based on your qualifications and subfield strengths.

• Create or update your free OpenTrain profile
• Highlight relevant research, simulations, publications, and technical tools
• Apply in minutes for consideration
• Set aside 5-10+ flexible hours per week if selected