# Physics Expert - AI Trainer \(Romania\) - Company: [Anyone Ai]() - Location: Romania - Remote: Yes - Team: STEM - Employment type: Part Time - Posted: June 18, 2026 ## Job description * **Location:** Remote * **Type:** Contract / Part-time * **Commitment:** 20 to 40 hours per week * **Compensation:** Up to 40 USD / hr * **Project duration:** 2 months, with potential extension ## **About the role** We create high-quality STEM training data for frontier AI models. Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. **We are looking for experts in Physics** to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. ## **What you’ll do** * 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 ## **What we’re looking for** * **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 ## **Nice to have** * 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 ## Apply [Apply on Anyone Ai]() Canonical job page: