Research Physics Expert (Train AI Models Part Time!)

## Role Overview We are seeking expert physics researchers to author and verify golden reference solutions for the **CritPt benchmark (arXiv:2509.26574v3)** — a frontier research-level physics benchmark. Participants will solve CritPt research-level problems end-to-end, audit solutions from other experts, or adjudicate between parallel solution attempts, producing 100%-human-verified reference data used to evaluate large language models on frontier physics reasoning. ## Physics Subdomains Covered High Energy Physics & Mathematical Physics, Biophysics & Statistical Physics, Condensed Matter & AMO, Gravitation / Cosmology / Astrophysics, Quantum Information, Optical Properties of Materials, Magnetic Materials, Measurements in QM. ## Key Responsibilities - 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; deliver actionable feedback across iterations - Adjudicate between parallel solver attempts and decide which solution becomes the golden reference - Document chain-of-thought reasoning, error tolerances, equivalent symbolic forms, and verification test cases ## Ideal Qualifications - **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, demonstrable 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 (B2/C1/C2 minimum; native or near-native preferred) ## More About the Opportunity - 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