About The Role
What if your 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 that AI respects the fundamental laws of the universe.
This is a fully remote, flexible contract role.
No prior AI experience needed — just deep domain mastery and a rigorous, analytical mind.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Design advanced, open-ended physics problems at the level of PhD qualifying exams — requiring multi-step logical reasoning and rigorous mathematical derivation
- Author definitive "golden" solutions with precise step-by-step workings, correct physical constants, and flawless unit conversions
- Audit AI-generated simulations, proofs, and derivations for physical consistency — identifying where models "hallucinate" physics that violates first principles
- Provide structured, expert feedback that improves AI reasoning around boundary conditions, conservation laws, and fundamental physical constraints
- Work independently and asynchronously — fully on your own schedule
Who You Are
- Holds a PhD (completed or in final stages) in Applied Physics, Physics, Engineering Physics, or a closely related field
- Deep mastery across the core pillars of physics: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
- Exceptional ability to explain complex physical phenomena and mathematical derivations in clear, structured English
- Uncompromising eye for detail — units, scientific notation, dimensional analysis, and logical proof structure are second nature
- Self-motivated and reliable when working independently
- No prior AI or machine learning experience required
Nice to Have
- Experience with data annotation, scientific dataset evaluation, or quality assurance for research outputs
- Proficiency with computational tools such as MATLAB, COMSOL, Python (NumPy/SciPy), or similar
- Background in research, academia, or applied engineering environments
Why Join Us
- Work on high-impact AI projects alongside world-leading research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, intellectually demanding work
- Gain direct exposure to how frontier AI models are built and trained
- Contribute to ensuring AI systems reason correctly about the physical world
- Potential for ongoing work and contract extension as new projects launch