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Physics Researcher for AI Model Evaluation

Confidential
  • US
    San Francisco, California, United States
  • US
    San Francisco, California, United States

Über

Role Overview

Join a cutting-edge initiative to develop and verify golden reference solutions for the CritPt benchmark, a leading research-level physics benchmark. This role involves solving complex physics problems, auditing peer solutions, and producing fully human-verified reference data that will be instrumental in evaluating large language models on advanced physics reasoning.

Physics Subdomains Covered

The role encompasses various subdomains including:

  • 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
Key Responsibilities
  • Solve research-level physics challenges end-to-end, providing verifiable derivations, code, and peer-reviewed references.
  • Decompose complex challenges into standalone checkpoint sub-problems requiring genuine physical reasoning.
  • Author Python answer templates with auto-grading functions for symbolic or numerical answers.
  • Audit submitted solutions for correctness, scope, and methodological soundness, delivering actionable feedback throughout the process.
  • Adjudicate between parallel solver attempts to determine which solution will be designated as the golden reference.
  • Document reasoning processes, 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, 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).
More About the Opportunity
  • Expected commitment: ~10 hours/week, sustained across an 8, 10 week window per task pool.
  • Pay range: $80, $135 per hour, based on role and demonstrated expertise.
  • Asynchronous work environment.
  • San Francisco, California, United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

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