About the Role
We're looking for Masters-level physicists to help train and evaluate cutting-edge AI models being developed by the world's leading AI research labs. Your deep understanding of physics will directly shape how AI reasons through complex scientific problems — making a tangible impact on the future of intelligent systems.
No AI experience required. If you can think rigorously and communicate clearly, you're already qualified.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Fully Remote
- Commitment: 10–40 hours/week (flexible)
What You'll Do
- Design challenging, original physics problems spanning mechanics, electromagnetism, thermodynamics, quantum mechanics, and more
- Develop clear, step-by-step solutions with rigorous logical reasoning
- Evaluate AI-generated responses for scientific accuracy, depth, and quality of reasoning
- Collaborate with researchers to refine benchmarks across undergraduate through Masters-level physics topics
- 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 problem-solving ability across advanced physics domains
- Able to break down complex concepts and communicate them clearly in writing
- Detail-oriented with a systematic approach to evaluating reasoning quality
- Self-motivated and comfortable working independently on an async schedule
- No prior AI or data annotation experience required
Nice to Have
- Experience with data annotation, quality evaluation, or academic research
- Familiarity with AI/ML concepts or large language models
- Background in tutoring, teaching, or writing physics content
Why Join Us
- Work directly with industry-leading AI labs on problems that matter
- Fully remote and flexible — work when and where it suits you
- High autonomy contractor role with real intellectual challenge
- Ongoing opportunities for contract renewal and expanded collaboration
- Contribute to meaningful work at the frontier of AI and science