Design advanced physics problems for frontier AI training and evaluation
Create deterministic problems with exactly one correct answer
Write complete, verified solutions and clearly document the reasoning process
Develop problems that test deep physical reasoning and multi-step analysis, not just memorization
Where relevant, use Python or specialized tools to build simulations, models, or computational workflows
Ensure all outputs are technically precise, reproducible, and well-written in English

Requirements

Bachelor's, Master’s, or PhD in Physics or a closely related field
Strong research or industry experience involving theoretical, experimental, or computational physics
Strong Python skills; comfort with scientific libraries such as numpy, scipy, or similar
Solid understanding of modeling, simulation, numerical methods, and multi-step problem solving
Ability to design original, difficult problems that reflect real physics workflows
Excellent attention to detail and technical writing skills in English
Experience with simulation tools or domain-specific physics software (e.g., finite element tools, circuit simulators, symbolic systems)
Background in areas such as computational physics, statistical mechanics, electromagnetism, quantum mechanics, or related fields
Experience evaluating model reasoning, benchmarking, or designing technical assessments

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Pythonnumpyscipymodelingsimulationnumerical methodsproblem solvingtechnical writingevaluating model reasoningbenchmarking

Soft Skills

attention to detailoriginal problem designclear documentationmulti-step analysisdeep physical reasoning

Certifications

Bachelor's in PhysicsMaster’s in PhysicsPhD in Physics