Physics Problem-Solving AI Training Expert

About OpenTrain
OpenTrain AI is the hiring and contracting organization for this role and the #1 platform for finding and building careers in AI training and data labeling. We help experts discover meaningful projects, build a credible professional profile, and grow their work in a rapidly developing field.
- Remote contract work with flexible scheduling
- A platform for building a lasting AI training portfolio
- Opportunities to apply specialized expertise to advanced AI systems
About AI Training Work
AI training is the human work behind modern artificial intelligence. Experts create, review, and evaluate examples that teach models to reason, communicate, and solve complex problems. In this role, your physics knowledge will help improve how AI systems handle advanced scientific questions.
- Contribute directly to the development of next-generation AI systems
- Use your subject-matter expertise in a growing technology field
- Work remotely with a flexible part-time project structure
The Role
OpenTrain AI is seeking a Physics Problem-Solving AI Training Expert to provide rigorous scientific reasoning for AI development. You will work with advanced physics problems from your area of specialization, producing technically precise derivations and analyses that help models learn to reason through complex scientific questions.
The work emphasizes research-quality documentation, mathematical clarity, reproducibility, and careful judgment. You will need to address assumptions, approximations, special cases, boundary conditions, and ambiguous problem statements with precision.
- Remote contractor role open worldwide
- Advertised compensation of $100 to $200 per hour
- Flexible project expected to run for 8 to 10 weeks
- Approximately 10 to 15 or more hours per week; the listing also indicates 20 or more hours per week
What You'll Do
You will solve advanced physics problems and present your work in a way that is clear, rigorous, and reproducible. When relevant, you will use computational tools to verify symbolic or numerical results and maintain transparent workflows.
- Develop well-documented physics derivations and analyses
- Present assumptions, approximations, intermediate reasoning, and final results clearly
- Use LaTeX mathematical notation for technical communication
- Use SymPy, Python, and Jupyter for symbolic or numerical verification when relevant
- Check dimensional consistency, special cases, and boundary conditions
- Identify ambiguities and propose well-reasoned interpretations or clarifications
- Incorporate reviewer feedback while preserving technical accuracy and reproducibility
Requirements and Preferred Background
This listing is classified as entry level, but the work requires advanced physics expertise and strong research-level analytical ability. A PhD in physics, advanced-stage PhD candidacy, or postdoctoral physics research experience is preferred, and applicants should be able to demonstrate recent, representative work.
- Active expertise in a relevant physics subfield
- Strong analytical reasoning and precise technical communication
- Ability to explain assumptions, approximations, and boundary conditions clearly
- Proficiency with LaTeX
- Working familiarity with SymPy, Python, and Jupyter
- Two to five recent representative physics publications with accessible arXiv or DOI records
- Ability to produce rigorous, reproducible solutions and accurately incorporate technical feedback
Relevant Physics Expertise
Applicants may bring expertise from a range of advanced physics disciplines. Your specialization should support the kinds of complex problem solving and scientific analysis required by the project.
- High energy physics
- Mathematical physics
- Biophysics
- Statistical physics
- Condensed matter
- Atomic, molecular, and optical physics or quantum optics
- Gravitation and cosmology
- Astrophysics
- Quantum information
- Optical properties of materials
How to Apply Through OpenTrain
Create a free OpenTrain account and build a profile that highlights your physics specialization, publications, technical communication, and computational experience. You can then apply for this project and use your profile to develop a durable record of AI training work.
OpenTrain brings together flexible opportunities where specialists can contribute to how advanced AI systems are built. Your work on rigorous physics reasoning can become part of a broader professional portfolio in AI training.
- Apply remotely through OpenTrain AI
- Showcase accessible arXiv or DOI records in your application
- Highlight relevant physics research and technical tools
- Maintain a professional AI training portfolio as you gain experience

Work arrangement
Yes