Physics Researcher for AI Model Evaluation

Join a team of expert physics researchers to create and validate golden reference solutions for the CritPt benchmark, a cutting-edge research-level physics benchmark. This role involves solving complex physics problems from start to finish, auditing solutions from fellow experts, and determining the best solutions to produce fully human-verified reference data for evaluating large language models in advanced physics reasoning.

• High Energy Physics & Mathematical Physics
• Biophysics & Statistical Physics
• Condensed Matter & AMO
• Gravitation / Cosmology / Astrophysics
• Quantum Information
• Optical Properties of Materials
• Magnetic Materials
• Measurements in Quantum Mechanics

• Solve research-level physics challenges end-to-end with verifiable derivations, code, and peer-reviewed references.
• Decompose challenges into standalone checkpoint sub-problems that require genuine physical reasoning.
• Author Python answer templates with auto-grading functions for symbolic or numerical answers.
• Audit submitted solutions for correctness, scope, and method soundness, providing actionable feedback across iterations.
• Adjudicate between parallel solver attempts to determine which solution becomes the golden reference.
• Document chain-of-thought reasoning, error tolerances, equivalent symbolic forms, and verification test cases.

• Solver: PhD or postdoc in the relevant subfield (senior PhD student minimum).
• Auditor: Postdoc or junior professor in the relevant subfield (PhD minimum).
• Adjudicator: Full professor or industry research PI in the relevant subfield (senior postdoc or junior professor minimum).
• Hands-on familiarity with at least two canonical methods of the target subfield, demonstrated through publications (broader coverage strongly preferred).
• 3, 5 representative publications (arXiv ID or DOI), ideally within the last ~5 years and in the target subfield.
• Working proficiency with LaTeX, Python, Jupyter, and SymPy.
• Strong written English skills (B2/C1/C2 minimum; native or near-native preferred).

• Expected commitment: ~10 hours/week, sustained across an 8, 10 week window per task pool.
• Pay range: $80, $140 per hour, based on role and demonstrated expertise.
• Asynchronous work environment.