Compensation: $80–$110/hr
Location: Remote — Canada or United Kingdom
Employment Type: Part-time
This position offers an opportunity to leverage your physics expertise to contribute to the training of next-generation AI systems. Your insights will directly influence how these models learn, reason, and perform, utilizing your deep knowledge of physics without the need for prior AI experience.
Provide deep domain expertise in your specialized physics subfield, offering authentic and 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 using Python, SymPy, and Jupyter environments.
Create high-quality, publication-level written explanations and derivations with clear, structured reasoning.
Communicate complex concepts and solutions effectively through written and verbal exchanges with project coordinators and the technical AI team.
Independently navigate and resolve challenging, novel research problems aligned with your assigned subfield.
Review, critique, and enhance problem solutions to ensure accuracy and clarity for AI training.
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 (from the 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; please flag any skill gaps.
Exceptional written and verbal communication skills, with a focus on clarity, accuracy, and the ability to explain intricate concepts.
Demonstrated ability to work independently and execute research tasks with minimal supervision.
Must be based in the US, UK, or Canada, with rare exceptions for truly exceptional candidates.
Experience in AI training or interdisciplinary computational research projects.
Recognition as a thought leader, contributor, or reviewer in your physics subfield.
Part-time contractor role, requiring approximately 10 hours of work per week, with a remote work arrangement.
