Physics Problem-Solving AI Training Expert

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the leading platform for finding and building careers in AI training and data labeling, helping contributors discover projects, build a professional profile, and apply to work in minutes.

As a Physics Problem-Solving AI Training Expert, you will contribute specialized scientific knowledge to the development of next-generation AI systems.

• Remote contractor opportunity open worldwide
• Flexible part-time schedule of approximately 10 to 15 or more hours per week
• Advertised compensation of $100 to $200 per hour
• Expected project commitment of 8 to 10 weeks

About AI Training Work

AI training is the human side of building artificial intelligence. Contributors create, review, and improve examples that help AI systems produce more accurate and useful results, including technically rigorous answers to complex scientific questions.

This work offers a way to apply advanced subject-matter expertise directly to cutting-edge AI development through flexible, remote projects.

• Help models learn to reason through challenging physics questions
• Create clear examples that emphasize accuracy, assumptions, and reproducibility
• Use human judgment to identify ambiguities, limitations, and technical subtleties

The Role

OpenTrain is recruiting a Physics Problem-Solving AI Training Expert to provide rigorous scientific reasoning for advanced AI systems. You will work with difficult physics problems from your area of specialization, producing technically precise derivations and analyses that support model learning.

The role emphasizes research-quality documentation, mathematical clarity, reproducibility, and careful judgment around assumptions, approximations, special cases, boundary conditions, and ambiguous problem statements.

• Work with advanced physics problem-solving content
• Produce technically accurate derivations and analyses
• Explain reasoning with mathematical clarity and research-quality documentation
• Maintain accuracy and reproducibility when incorporating reviewer feedback

What You'll Do

You will solve advanced physics problems and present your work so that both technical reviewers and AI training workflows can assess the reasoning. When relevant, you will use computational tools to verify symbolic or numerical results and document the process transparently.

• Solve advanced physics problems and deliver well-documented solutions
• Present assumptions, approximations, intermediate reasoning, and final results clearly
• Use LaTeX mathematical notation for technical explanations
• Use SymPy, Python, and Jupyter for symbolic or numerical verification when relevant
• Check dimensional consistency, special cases, and boundary conditions
• Flag ambiguous statements and propose well-reasoned interpretations or clarifications
• Incorporate reviewer feedback while preserving technical accuracy and reproducibility

Requirements and Expertise

The ideal candidate has advanced academic or research experience in physics and can communicate complex technical reasoning with precision. A PhD, advanced-stage PhD candidacy, or postdoctoral physics research experience is preferred.

Active expertise may come from a range of physics subfields, provided you can solve and explain advanced problems in your area.

• PhD, advanced-stage PhD candidacy, or postdoctoral research experience in physics preferred
• Active expertise in a relevant physics subfield
• Strong analytical reasoning and precise technical communication
• Ability to explain assumptions, approximations, and boundary conditions
• 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 Specializations

Relevant expertise may include any of the following areas. Your application should reflect the physics specialization and research background most relevant to the problems you can solve.

• 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

Schedule, Location, and Compensation

This is a worldwide remote contractor role with a flexible schedule. Consistent availability is needed throughout the project period, and the expected workload is approximately 10 to 15 or more hours per week.

The advertised compensation range is $100 to $200 per hour.

• Employment type: Contractor and part-time
• Location: Worldwide and fully remote
• Time requirement: Less than 20 hours per week, approximately 10 to 15 or more hours
• Project duration: Approximately 8 to 10 weeks
• Compensation: $100 to $200 per hour
• Working language: English

Build Your AI Training Career

OpenTrain helps contributors turn specialized AI training work into a lasting professional portfolio. Create a profile that highlights your physics expertise, research record, and technical capabilities, then apply to projects that match your experience.

AI training is a growing field where subject-matter experts help shape how advanced systems reason, communicate, and handle difficult real-world questions.

• Create an OpenTrain profile at no cost
• Showcase relevant physics experience and representative publications
• Apply to AI training opportunities that match your technical background
• Develop a portfolio of work at the intersection of physics and AI