Applied Physics

Applied Physics (AI Training)
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

Work arrangement
Yes