Physics Masters — AI Training Specialist
About The Role
We're looking for physics graduate students and degree holders to help train and evaluate cutting-edge AI models. Working with Alignerr — a partner to the world's leading AI research labs — you'll apply your advanced physics knowledge to problems that directly shape how the next generation of AI reasons about the physical world.
This is a fully remote, flexible contract role. No prior AI experience needed — your physics expertise is what matters.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design challenging, graduate-level physics problems across domains including mechanics, electromagnetism, thermodynamics, and quantum physics
- Develop clear, rigorous step-by-step solutions that demonstrate strong physical reasoning
- Evaluate AI-generated responses for scientific accuracy, logical consistency, and quality of reasoning
- Collaborate with researchers to build and refine benchmarks spanning undergraduate through Masters-level physics
- Provide structured, actionable feedback that helps AI systems improve over time
Who You Are
- Currently pursuing or have completed a Masters degree in Physics, Applied Physics, or a closely related field
- Strong command of advanced physics topics and the ability to reason through complex problems systematically
- Able to communicate technical concepts clearly and precisely in writing
- Detail-oriented and comfortable providing structured, evidence-based feedback
- Self-motivated and able to work independently in a remote, async environment
- No prior AI or data annotation experience required
Nice to Have
- Experience with data annotation, data quality review, or evaluation systems
- Familiarity with AI language models or benchmark design
- Background spanning multiple physics subfields
Why Join Us
- Work on meaningful, intellectually engaging problems at the frontier of AI development
- Fully remote and asynchronous — work when and where it suits you
- Freelance flexibility: high autonomy, no rigid schedules, and global reach
- Direct engagement with industry-leading large language models
- Potential for ongoing contract renewals and expanded project opportunities
- Contribute to research that shapes how AI understands and reasons about the physical world
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