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
Availability: Immediate start
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 doDesign 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
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
Skills Required
- Bachelor's, Master's, or PhD in Physics or a closely related field
- Strong research or industry experience in theoretical, experimental, or computational physics
- Strong Python skills
- Comfort with scientific libraries such as numpy or scipy
- Solid understanding of modeling, simulation, numerical methods, and multi-step problem solving
- Ability to design original, difficult problems reflecting 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 computational physics, statistical mechanics, electromagnetism, quantum mechanics, or related fields
- Experience evaluating model reasoning, benchmarking, or designing technical assessments
What We Do
Anyone AI is an edtech startup dedicated to bridging the AI talent gap by investing in software developers from Latin America. The company provides intensive, hands-on training programs in Machine Learning and Artificial Intelligence, led by industry experts. By combining technical skill development with employability support, Anyone AI prepares professionals for global career opportunities, helping them transition into high-impact roles within the rapidly evolving AI and technology sectors.
