Applied Physics Specialist
Alignerr Corp. • City of Edinburgh, SCT, GB
2 days ago
Job description
Applied Physics Specialist (AI Training)
What if your years of graduate-level physics training could directly influence how AI reasons about the physical world? We're looking for PhD-level Applied Physicists to stress-test cutting-edge Large Language Models — exposing the gaps in their understanding of quantum mechanics, thermodynamics, electrodynamics, and more. This is a fully remote, flexible contract role. No AI background needed — just deep domain expertise and the precision of a researcher who knows when something violates first principles.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design PhD-level problems — Craft advanced, open-ended physics problems requiring multi‑step logical reasoning, mathematical derivation, and mastery of core physical principles
- Author ground-truth solutions — Write rigorous, step‑by‑step "golden responses" where every constant, unit conversion, and logical step is airtight
- Audit AI reasoning — Evaluate AI-generated solutions and proofs for physical consistency, identifying where models "hallucinate" physics that violates first principles
- Refine model behaviour — Provide structured, expert feedback that improves how AI handles boundary conditions, conservation laws, and physics‑informed constraints
- Work independently and asynchronously — fully on your own schedule
Who You Are
- PhD completed or in final stages in Applied Physics, Physics, Engineering Physics, or a closely related field
- Deep mastery of the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
- Exceptional ability to explain complex physical phenomena and mathematical derivations in clear, structured prose
- Uncompromising eye for detail — units, scientific notation, and the logical flow of a proof matter to you
- Self‑motivated and consistent when working independently
- No prior AI or data annotation experience required
Nice to Have
- Experience with data annotation, scientific dataset evaluation, or academic benchmarking
- Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
- Background in research, academia, or applied engineering environments
- Familiarity with AI tools or language model outputs as an end user
Why Join Us
- Work on high‑impact AI projects alongside the world's leading AI research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, intellectually rigorous work
- Gain direct exposure to how frontier AI models are trained and evaluatedContribute to ensuring that the next generation of AI systems genuinely understands the physical world
- Potential for ongoing work and contract extension as new projects launch
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