Applied Physics Specialist (AI Training)

About The Role

What if your years of physics training could directly shape how AI understands the physical world — from quantum mechanics to thermodynamics? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models, expose the gaps in their physical reasoning, and help ensure they respect the fundamental laws that govern our universe.

This is a fully remote, flexible contract role built for serious scientists. No prior AI experience needed — just deep domain expertise and the ability to think rigorously.

Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week

What You'll Do

Design PhD-level physics problems — craft complex, open-ended challenges requiring multi-step logical reasoning, mathematical derivation, and mastery of first principles across quantum mechanics, electromagnetism, thermodynamics, and more Author rigorous ground-truth solutions — produce precise, step-by-step "golden responses" with flawless handling of physical constants, units, and logical flow Audit AI-generated physics — evaluate model outputs for physical consistency, identifying where AI "hallucinates" results that violate conservation laws, boundary conditions, or established theory Refine AI reasoning — provide structured, expert feedback that helps AI models develop more accurate, physics-informed reasoning and better handle real-world constraints Document failure modes — systematically record where and how AI reasoning breaks down so these gaps can be systematically addressed

Who You Are

Holds a PhD (completed or in final stages) in Applied Physics, Physics, Engineering Physics, or a closely related field Deep mastery of core physics pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics Exceptional analytical writer — able to explain complex derivations and physical phenomena in clear, structured English Uncompromising precision when it comes to units, scientific notation, dimensional analysis, and logical proof structure Self-motivated and comfortable working independently on challenging, open-ended problems No prior AI or machine learning experience required

Nice to Have

Experience with scientific data annotation, dataset quality evaluation, or research benchmarking Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL Background in research-level problem design, such as qualifying exam authorship or peer review

Why Join Us

Work at the frontier of AI development alongside world-leading research labs Fully remote and flexible — set your own hours and work from anywhere Freelance autonomy with access to genuinely interesting, intellectually demanding work Direct, meaningful impact on how AI models understand and reason about the physical world Exposure to cutting-edge large language models and the methods used to train them Potential for ongoing work and contract extension as new projects launch