Physics Research Expert (Solver)
Contractor · Remote · 10 openings
In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Key Responsibilities
- Contribute deep domain expertise in your specialized physics subfield, providing authentic, up-to-date insights for AI training initiatives.
- Formulate, solve, and document advanced mathematical physics problems using rigorous methodologies.
- Develop and validate computational models, simulations, and analytical solutions leveraging Python, SymPy, and Jupyter environments.
- Produce high-quality, publication-level written explanations and derivations with clear, structured reasoning.
- Clearly communicate complex concepts and solutions through both written and verbal exchanges with project coordinators and the technical AI team.
- Work independently to navigate and resolve challenging, novel research problems aligned with the assigned subfield.
- Leverage your experience to review, critique, and improve problem solutions, ensuring accuracy and clarity for AI training.
Required Skills & Qualifications
- PhD (or senior PhD student) in physics with active, ongoing research in one or more targeted subfields: High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology/Astrophysics, Quantum Information, or Optical properties of materials.
- 2–5 representative publications (last 5 years) in the relevant subfield, with available arXiv/DOI links.
- Expertise in mathematical modeling, derivations, and system proofs at a publication-worthy standard.
- Proficient in LaTeX, Python, SymPy, and Jupyter (flag any skill gaps).
- Exceptional written and verbal communication skills—clarity, accuracy, and the ability to explain intricate concepts are essential.
- Demonstrated ability to work independently and execute research tasks with minimal supervision.
- Must be based in the US, UK, or Canada (rare exceptions for truly exceptional candidates).
Preferred Qualifications
- Experience in AI training or interdisciplinary computational research projects.
- Recognition as a thought leader, contributor, or reviewer in your physics subfield.
$80–$110/hr
Remote