Overview
Applied Physics Jobs in United Kingdom at Alignerr
Title: Applied Physics
Company: Alignerr
Location: United Kingdom
Applied Physics — AI Data Trainer
About The Role
What if your deep expertise in quantum mechanics, electrodynamics, and thermodynamics could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to stress-test cutting-edge Large Language Models — exposing the gaps in their physical reasoning and helping ensure they respect the fundamental laws of the universe.
This is a fully remote, flexible contract role. No AI background needed — just mastery of physics and a sharp, rigorous mind.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design advanced physics problems — craft PhD qualifying exam-level challenges that demand multi-step logical reasoning and rigorous mathematical derivation across domains like quantum mechanics, electromagnetism, and thermodynamics
- Author gold-standard solutions — write precise, step-by-step "golden responses" where every unit, constant, and logical step is airtight
- Audit AI reasoning — evaluate AI-generated simulations 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 reasoning
- 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 across the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
- Exceptional ability to explain complex physical phenomena and mathematical derivations in clear, structured English
- Uncompromising attention to detail — units, scientific notation, and logical flow matter to you
- Self-motivated and rigorous when working independently
- No prior AI experience required
Nice to Have
- Prior experience with data annotation, scientific dataset evaluation, or quality assurance workflows
- Proficiency with MATLAB, COMSOL, Python (NumPy/SciPy), or similar scientific computing tools
- Background spanning multiple subfields of physics or adjacent engineering disciplines
Why Join Us
- Work on high-impact AI projects alongside leading research labs and AI teams
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, intellectually stimulating work
- Gain direct exposure to how frontier LLMs are trained and evaluated
- Contribute to ensuring AI systems reason about the physical world with integrity
- Potential for ongoing work and contract extension as new projects launch
