About the job
anyone-ai develops high-quality STEM training data that supports the progress of advanced AI models. The work produced here helps train and evaluate AI systems at leading research labs, with a focus on improving reasoning in specialized scientific areas.
This remote role centers on designing and verifying challenging physics problems for AI training. Problems must have a single, correct answer and include a detailed, validated solution. The aim is to test deep physical reasoning and multi-step analysis, not just recall of facts.
What you will do
- Create complex physics problems for AI systems to solve and learn from.
- Develop deterministic problems with one verifiable answer.
- Write thorough solutions that clearly explain the reasoning and steps involved.
- Design problems that require deep analytical skills and understanding of physics concepts.
- Use Python or other specialized tools for simulations, modeling, or computational workflows when needed.
- Ensure all materials are accurate, reproducible, and clearly written in English.
Requirements
- Bachelor's, Master's, or PhD in Physics or a closely related field.
- Research or industry experience in theoretical, experimental, or computational physics.
- Proficiency in Python and familiarity with scientific libraries such as NumPy or SciPy.
- Strong background in modeling, simulation, numerical methods, and solving complex problems.
- Ability to design original, challenging problems that reflect real-world physics scenarios.
- Excellent attention to detail and technical writing skills in English.
Preferred qualifications
- Experience creating educational content or working on AI training projects.
- Knowledge of modern AI methodologies and tools.
This position is remote and open to candidates based in Uruguay.
