Negotiable
Undetermined
Remote
Oxford, England, United Kingdom
Summary: The Physics Subject Matter Expert (AI Training) role involves leveraging expertise in physics to train AI models, shaping their ability to solve complex scientific problems. This fully remote, flexible contract position allows individuals to work independently while contributing to cutting-edge AI projects. Candidates do not need prior AI experience, making it accessible for those passionate about physics. The role requires a commitment of 10–40 hours per week.
Key Responsibilities:
- Design challenging, rigorous physics problems spanning mechanics, electromagnetism, thermodynamics, quantum mechanics, and more
- Develop clear, step-by-step solutions that demonstrate precise scientific reasoning
- Evaluate AI-generated physics responses for accuracy, logical consistency, and depth
- Identify gaps or errors in AI reasoning and provide structured, actionable feedback
- Collaborate with researchers to build and refine benchmarks across undergraduate to Masters-level physics topics
- Work independently and asynchronously on your own schedule
Key Skills:
- Currently pursuing or have completed a Master's degree in Physics, Applied Physics, or a closely related field
- Strong problem-solving skills across multiple advanced physics domains
- Able to communicate complex scientific concepts clearly and precisely in writing
- Detail-oriented with a systematic approach to evaluating reasoning quality
- Self-motivated and comfortable working independently on task-based assignments
- No prior AI or data annotation experience required
- Experience with data annotation, data quality assessment, or evaluation workflows (nice to have)
- Familiarity with AI language models or benchmark design (nice to have)
- Background spanning multiple physics subfields (nice to have)
Salary (Rate): £28.00 hourly
City: Oxford
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Physics Subject Matter Expert (AI Training)
About The Role
We're looking for physics experts to help train and improve the next generation of AI models. Your deep understanding of physics will directly shape how AI reasons through complex scientific problems — making a real impact on the frontier of artificial intelligence. This is a fully remote, flexible contract role built for people who love physics and want to apply their expertise in a cutting-edge setting. No prior AI experience required.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Design challenging, rigorous physics problems spanning mechanics, electromagnetism, thermodynamics, quantum mechanics, and more
- Develop clear, step-by-step solutions that demonstrate precise scientific reasoning
- Evaluate AI-generated physics responses for accuracy, logical consistency, and depth
- Identify gaps or errors in AI reasoning and provide structured, actionable feedback
- Collaborate with researchers to build and refine benchmarks across undergraduate to Masters-level physics topics
- Work independently and asynchronously on your own schedule
Who You Are
- Currently pursuing or have completed a Master's degree in Physics, Applied Physics, or a closely related field
- Strong problem-solving skills across multiple advanced physics domains
- Able to communicate complex scientific concepts clearly and precisely in writing
- Detail-oriented with a systematic approach to evaluating reasoning quality
- Self-motivated and comfortable working independently on task-based assignments
- No prior AI or data annotation experience required
Nice to Have
- Experience with data annotation, data quality assessment, or evaluation workflows
- Familiarity with AI language models or benchmark design
- Background spanning multiple physics subfields
Why Join Us
- Work on cutting-edge AI projects in partnership with leading AI research labs
- Fully remote and flexible — work when and where it suits you
- Freelance perks: high autonomy, variety of problems, and global collaboration
- Directly influence how AI understands and reasons about the physical world
- Potential for ongoing work and contract renewals