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