Applied Physics

Applied Physics — AI Data Trainer
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 they respect the fundamental laws of the universe.
This is a fully remote, flexible contract role. No prior AI experience required — just deep 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, open-ended physics problems at the level of PhD qualifying exams — requiring multi-step logical reasoning and rigorous mathematical derivation
Author gold-standard solutions with precise, step-by-step workings, ensuring every physical constant, unit conversion, and boundary condition is flawless
Evaluate AI-generated simulations, proofs, and derivations for physical consistency — identifying where models "hallucinate" physics that violates first principles
Provide structured, expert feedback that helps AI develop sound physics-informed reasoning across topics like conservation laws, field theory, and statistical mechanics
Work independently and asynchronously — fully on your own schedule
Who You Are
Holds a PhD (completed or near completion) in Applied Physics, Physics, Engineering Physics, or a closely related field
Deep command of the core pillars of physics: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
Exceptional ability to communicate complex physical phenomena and mathematical derivations in clear, structured English
Uncompromising attention to detail — you catch unit errors, sign mistakes, and logical gaps without breaking a sweat
Self-motivated and reliable when working independently
No prior AI or tech experience required
Nice to Have
Experience with data annotation, scientific dataset evaluation, or quality assurance workflows
Proficiency with tools such as MATLAB, COMSOL, or Python (NumPy / SciPy)
Background in research-level benchmarking or technical writing
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 stimulating work
Gain direct exposure to how frontier LLMs are trained and evaluated at the cutting edge
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes