Applied Physics

Applied Physics (AI Training)
About The Role
What if your deep expertise in physics could directly influence 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 their reasoning failures, and help build systems that genuinely respect the fundamental laws of the universe.
This is a fully remote, flexible contract role. No prior AI experience needed — just 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 PhD qualifying exam level — requiring multi-step logical reasoning and rigorous mathematical derivation
Author detailed "golden response" solutions with flawless step-by-step workings, correct physical constants, and precise unit handling
Audit AI-generated simulations, proofs, and explanations for physical consistency — identifying where models hallucinate physics that violates first principles
Provide structured, expert feedback to improve AI reasoning around conservation laws, boundary conditions, and fundamental physical constraints
Work independently and asynchronously — fully on your own schedule
Who You Are
PhD (completed or near completion) in Applied Physics, Physics, Engineering Physics, or a closely related field
Deep mastery of core physics disciplines: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
Exceptional ability to explain complex physical phenomena and mathematical derivations in clear, structured prose
Uncompromising attention to detail — units, scientific notation, and logical proof structure matter to you
Self-motivated and consistent when working independently
No prior AI or data annotation 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 computational physics, experimental physics, or engineering physics
Experience writing technical documentation or academic publications
Why Join Us
Work on high-impact AI projects alongside leading AI research labs and teams
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, intellectually rigorous work
Gain firsthand exposure to how cutting-edge large language models are trained and evaluated
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