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Physics Subject Matter Expert (AI Training)
About The Role
We're looking for physics experts to help train and evaluate some of the world's most advanced AI models. Your deep understanding of physics will directly shape how AI reasons through complex problems — from undergraduate fundamentals to Masters-level challenges.
If you've spent years thinking carefully about mechanics, electromagnetism, or thermodynamics, this is your opportunity to apply that expertise in a cutting-edge field — fully remote, on your own schedule.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Design rigorous, advanced physics problems across domains including mechanics, electromagnetism, thermodynamics, and more
Develop clear, step-by-step solutions with precise, logical reasoning
Evaluate AI-generated outputs for scientific accuracy and quality of reasoning
Collaborate with researchers to build and refine benchmarks spanning undergraduate to Masters-level physics
Provide structured written feedback to help improve model performance
Who You Are
Pursuing or holding a Master's degree in Physics, Applied Physics, or a closely related field
Strong analytical and problem-solving skills across multiple advanced physics domains
Able to communicate complex concepts clearly and systematically in writing
Self-motivated and comfortable working independently and asynchronously
No prior AI experience required — your physics knowledge is what matters
Nice to Have
Experience with data annotation, data quality review, or evaluation workflows
Familiarity with AI or large language model (LLM) research
Background in academic tutoring, curriculum design, or scientific writing
Why Join Us
Work directly with industry-leading AI labs on cutting-edge model development
Fully remote and flexible — work when and where it suits you
High agency and autonomy — you manage your own time and workload
Contribute to meaningful work that shapes how AI understands science
Potential for ongoing contracts and expanded project involvement
Global collaboration with a network of expert contributors
Work arrangement
Yes
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