Physics Research Expert (Solver)
$80 - $110/hourpay
Required Skills
Deep Subfield Expertise
Mathematical Problem Solving
Research Execution
Scientific Computing
About micro1
micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.
Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI.
Job Description
Job Title: Physics Research Expert (Solver)
Job Type: Contractor/ Part-Time (10 hrs. a week)
Location: Remote
Job Summary: 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 and 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.