
Physics Expert (PhD / Postdoc)
Listing checked September 15, 2026 · pay as published by micro1
Key details
- Pay
- $100–200/hr
- Location
- Remote
- Job type
- contract
- Openings
- 14
- Posted
- September 8, 2026
Overview
micro1 seeks Physics Experts with a PhD or late-stage doctoral work to support a customer project that trains next-generation AI systems. You will solve advanced problems from your subfield, write precise solutions in LaTeX, and verify results with SymPy, Python, and Jupyter. The engagement runs about 8 to 10 weeks at roughly 10 hours per week, with fully flexible scheduling that can fit evenings or weekends. No prior AI experience is needed. Your physics depth is the core qualification.
What You'll Do7
- Work through advanced physics problems in your area of specialization, producing thorough derivations and analyses.
- Write solutions that state every assumption, approximation, and final result, using LaTeX for all mathematical notation.
- Use SymPy, Python, and Jupyter to check symbolic or numerical results and document computational steps where they apply.
- Spot subtleties in problem statements such as special cases, boundary conditions, and dimensional consistency, and explain them.
- Call out ambiguities in project materials and suggest reasoned interpretations or clarifications.
- Revise submitted solutions after reviewer feedback, integrating corrections without introducing new errors.
- Maintain documentation and reproducibility standards that match professional research practice.
Requirements7
- PhD in physics or advanced-stage PhD candidacy with active research in a relevant subfield.
- Research background in at least one of: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter (including moiré systems, magnetism, PXP/Rydberg), AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
- 2 to 5 recent representative publications from the past 5 years, with accessible arXiv or DOI records.
- Fluency with LaTeX for mathematical presentation and with SymPy, Python, and Jupyter for computational work. Willingness to flag areas where you need further support.
- Proven strength in written technical communication, shown by clear, precise, well-argued scientific outputs.
- Strong analytical ability to isolate key physical principles and deliver nuanced solutions to complex problems.
- Availability to engage consistently over an 8 to 10 week period at approximately 10 hours per week.
Who Should Apply
This role fits a physics PhD or advanced doctoral candidate who has recent publications and can explain complex derivations in clean written form. You should be comfortable with LaTeX and computational tools like SymPy, Python, and Jupyter, and you should enjoy finding edge cases and boundary conditions in problem statements. The role is less suitable for someone without a physics research background or without recent publications to point to. Candidates often get rejected when their publication list is older than five years or lacks accessible arXiv or DOI links, or when their writing samples do not show precise, well-structured technical arguments.
Salary Insight
The rate is $100 to $200 per hour. No other compensation details are provided in the source.
Pay and demand for Machine Learning & AI roles
Market estimates from live NearSkill listings — separate from this job's published terms.
This role · as published
$100–200/hr
Taken from the listing itself.
Typical pay · estimated
$80/hour
Median of 575 similar roles that publish pay · 93 publish only a top rate; those count at the rate they gave
Most Machine Learning & AI roles pay $55–$100 per hour. This role's pay sits above that range.
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 687
- Listed in last 30 days
- 408
- Remote
- 97%
Hiring most right now: micro1 (236) · Turing (112) · Mercor (107)
Most requested skills · share of roles
- python24%
- code review13%
- llm evaluation11%
- ai evaluation11%
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