M
Micro1
RemoteHotAI & Machine Learning

Physics Research Expert (Solver) | $80-$110/hr Remote

$80–$110/hr
Posted May 21, 2026
contract
10 openings

Overview

This role involves applying deep domain expertise in physics to train next-generation AI systems. You will formulate and solve advanced mathematical physics problems, develop computational models using Python and SymPy, and produce publication-level written explanations. The work is remote, part-time (10 hours/week), and requires no prior AI experience—only your physics knowledge.

What You'll Do7

  • 1Contribute deep domain expertise in a specialized physics subfield for AI training initiatives.
  • 2Formulate, solve, and document advanced mathematical physics problems using rigorous methodologies.
  • 3Develop and validate computational models, simulations, and analytical solutions in Python, SymPy, and Jupyter.
  • 4Produce high-quality, publication-level written explanations and derivations with clear, structured reasoning.
  • 5Communicate complex concepts and solutions through written and verbal exchanges with project coordinators and the technical AI team.
  • 6Work independently to navigate and resolve challenging, novel research problems aligned with the assigned subfield.
  • 7Review, critique, and improve problem solutions to ensure accuracy and clarity for AI training.

Requirements7

  • 1PhD (or senior PhD student) in physics with active research in a targeted subfield such as High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology/Astrophysics, Quantum Information, or Optical properties of materials.
  • 22–5 representative publications (last 5 years) in the relevant subfield with available arXiv/DOI links.
  • 3Expertise in mathematical modeling, derivations, and system proofs at a publication-worthy standard.
  • 4Proficient in LaTeX, Python, SymPy, and Jupyter.
  • 5Exceptional written and verbal communication skills.
  • 6Ability to work independently with minimal supervision.
  • 7Must be based in the US, UK, or Canada.

Who Should Apply

Ideal candidates are PhD-level physicists actively conducting research in a specified subfield, with a strong publication record and expertise in mathematical modeling and computational tools. They should be comfortable working independently on complex problems and communicating their insights clearly. No prior AI training experience is required.

Salary Insight

$80-$110 per hour, as a contractor/part-time role (10 hours per week).

Required Skills

Deep Subfield ExpertiseMathematical Problem SolvingResearch ExecutionScientific Computing

Application Tip

When applying, highlight your recent publications and provide direct arXiv/DOI links to demonstrate your active research and domain expertise. Clearly state your specific physics subfield and any experience with computational tools like Python and SymPy.

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