Physics Masters
Posted Today by Alignerr
Negotiable
Undetermined
Remote
Oxford, England, United Kingdom
Summary: The Physics Expert role focuses on collaborating with leading AI research labs to enhance AI capabilities through the design and evaluation of advanced physics problems. Candidates should possess a Master's degree in Physics or a related field and will be responsible for creating rigorous physics challenges and assessing AI responses. The position offers flexible hours and the opportunity to work remotely, emphasizing the importance of physics expertise over AI experience. This role is ideal for those looking to contribute to the intersection of physics and artificial intelligence.
Key Responsibilities:
- Design rigorous, advanced physics problems spanning mechanics, electromagnetism, thermodynamics, quantum mechanics, and more
- Develop clear, step-by-step solutions that demonstrate structured physical reasoning
- Evaluate AI-generated responses for scientific accuracy, logical coherence, and solution quality
- Collaborate with researchers to refine and expand benchmarks across undergraduate-to-Masters-level physics topics
- Provide structured, actionable feedback that directly improves AI model performance
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 advanced physics domains
- Able to explain complex concepts clearly and write structured, precise feedback
- Self-motivated and comfortable working independently and asynchronously
- No prior AI or data annotation experience required
- Experience in data annotation, quality evaluation, or academic assessment (nice to have)
- Familiarity with AI or machine learning concepts (nice to have)
- Background in physics education, tutoring, or research (nice to have)
Salary (Rate): £27.00 hourly
City: Oxford
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Physics Expert – AI Training & Evaluation
About The Role
We're partnering with the world's leading AI research labs to make AI smarter — and we need physicists to help get there. If you hold or are pursuing a Master's in Physics, this is your chance to apply your deep domain knowledge to one of the most exciting frontiers in technology. You'll design challenging physics problems, evaluate how well AI models reason through them, and help build the benchmarks that push AI capabilities forward. No AI experience needed — your physics expertise is what matters.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week (flexible)
What You'll Do
- Design rigorous, advanced physics problems spanning mechanics, electromagnetism, thermodynamics, quantum mechanics, and more
- Develop clear, step-by-step solutions that demonstrate structured physical reasoning
- Evaluate AI-generated responses for scientific accuracy, logical coherence, and solution quality
- Collaborate with researchers to refine and expand benchmarks across undergraduate-to-Masters-level physics topics
- Provide structured, actionable feedback that directly improves AI model performance
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 advanced physics domains
- Able to explain complex concepts clearly and write structured, precise feedback
- Self-motivated and comfortable working independently and asynchronously
- No prior AI or data annotation experience required
Nice to Have
- Experience in data annotation, quality evaluation, or academic assessment
- Familiarity with AI or machine learning concepts
- Background in physics education, tutoring, or research
Why Join Us
- Work directly with cutting-edge large language models used by top AI research labs
- Fully remote and asynchronous — work on your own schedule from anywhere
- Freelance flexibility: high autonomy, no fixed hours, international reach
- Meaningful work that directly shapes the future of AI reasoning in STEM
- Potential for ongoing contract renewals and expanded project involvement