Physics Expert - AI Trainer (Finland)

• **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