Remote Physics Expert for AI Model Reasoning (Contract)

Executive Staff Recruiters / ESR Healthcare

United States

Remote

USD 55,000 - 124,000

Part time

14 days+
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Job summary

ESR Healthcare is seeking a Physics Expert (PhD / Postdoc) for a remote contractor role. The position involves solving advanced physics problems, providing rigorous derivations, and documenting results with LaTeX, using SymPy, Python, and Jupyter for verification.

You will articulate ambiguities and iterate on feedback while maintaining high standards of reproducibility. The role offers flexible scheduling (10–15+ hours per week) and is suitable for candidates committed to ongoing collaboration

Qualifications

  • PhD in physics with active research in a relevant subfield.
  • 2–5 recent publications with accessible arXiv/DOI records.
  • Proficiency with LaTeX for mathematics and with Python/SymPy/Jupyter for computation.

Responsibilities

  • Solve advanced physics problems with rigorous derivations and analyses.
  • Provide technically precise, clearly written solutions with explicit assumptions and final results using LaTeX.
  • Use SymPy, Python, and Jupyter for verification and reproducible workflows.
  • Identify subtleties, boundary conditions, and dimensional consistency in problems.
  • Flag ambiguities and propose interpretations and clarifications as needed.
  • Iterate on solutions based on reviewer feedback and ensure clean integration.
  • Maintain rigorous documentation and reproducibility standards.

Skills

Python
SymPy
LaTeX
Jupyter
Technical writing
Analytical thinking

Education

PhD in physics
Advanced PhD candidacy

Job description

ESR Healthcare is seeking a Physics Expert (PhD / Postdoc) for a remote contractor role. The position involves solving advanced physics problems, providing rigorous derivations, and documenting results with LaTeX, using SymPy, Python, and Jupyter for verification.

You will articulate ambiguities and iterate on feedback while maintaining high standards of reproducibility. The role offers flexible scheduling (10–15+ hours per week) and is suitable for candidates committed to ongoing collaboration

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