Physicist

You will solve advanced physics problems and create rigorous, well-documented derivations and analyses for AI training. The work requires clear mathematical reasoning, careful treatment of assumptions, and research-quality technical writing.

• Solve advanced physics problems and explain each derivation clearly.
• Present assumptions, approximations, intermediate reasoning, and final results using LaTeX.
• Use SymPy, Python, and Jupyter for symbolic or numerical checks when relevant.
• Check dimensional consistency, boundary conditions, special cases, and other technical details.
• Identify unclear problem statements and suggest well-reasoned interpretations or clarifications.
• Incorporate reviewer feedback while keeping the work accurate and reproducible.

What It Pays and Takes

This is a remote, part-time contractor role for a project expected to run consistently for 8 to 10 weeks.

• Pay: $100 to $200 per hour.
• Schedule: Approximately 10 to 15 or more hours per week, with the structured listing indicating less than 20 hours weekly.
• Location: remote, open to applicants in the United States.
• Language: Work is conducted in English.
• Preferred background: PhD in physics, advanced-stage PhD candidacy, or postdoctoral physics research experience.
• Relevant expertise may include high energy physics, mathematical physics, biophysics, statistical physics, condensed matter, AMO or quantum optics, gravitation, cosmology, astrophysics, quantum information, or optical properties of materials.
• Strong analytical ability, clear technical writing, LaTeX proficiency, and working familiarity with SymPy, Python, and Jupyter are preferred.
• Submit two to five recent representative publications with accessible arXiv or DOI records.

How it works

You apply here in about two minutes; the application finishes on the hiring platform, with a short AI interview if you are shortlisted.

About AI Training Work

AI training is the human work behind systems that learn from examples, including carefully written and reviewed answers to complex questions. Experts are paid to provide accurate reasoning, explanations, and feedback that help improve how AI systems handle specialized subjects.