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