Avantages principaux
About the role
Applied Physics Specialist (AI Training)
About The Role
What if your deep expertise in physics could directly shape how AI understands the fundamental laws of the universe? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models — probing their grasp of quantum mechanics, thermodynamics, electrodynamics, and more — and documenting where their reasoning breaks down.
This is a fully remote, flexible contract role built for physicists who want to apply their expertise beyond the lab. No prior AI experience needed — just mastery of physics and a rigorous, analytical mind.
Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week
What You'll Do
Design PhD-Level Problems — Craft advanced, open-ended physics problems requiring multi-step reasoning, mathematical derivation, and deep conceptual understanding across domains like quantum mechanics, electromagnetism, and statistical mechanics Author Gold-Standard Solutions — Write rigorous, step-by-step reference solutions with flawless units, constants, and logical structure that serve as benchmarks for AI evaluation Audit AI Reasoning — Evaluate AI-generated proofs, simulations, and derivations for physical consistency, identifying where models "hallucinate" physics that violates first principles Refine Model Behaviour — Provide structured, expert feedback that improves how AI handles physics-informed reasoning — from boundary conditions to conservation laws Work Independently — Complete task-based assignments 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 command of the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics Exceptional analytical writer — able to explain complex derivations in clear, structured, precise English Uncompromising attention to detail around units, notation, dimensional analysis, and logical flow Self-motivated and consistent when working independently No prior AI experience required
Nice to Have
Experience with data annotation, scientific dataset evaluation, or quality assurance workflows Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL Background in research-level benchmarking or academic problem-setting
Why Join Us
Work on cutting-edge AI projects alongside leading research labs and AI teams Fully remote and flexible — work when and where it suits you Freelance autonomy with the structure of meaningful, high-impact work Gain direct exposure to how frontier AI models are trained and evaluated Apply your physics expertise in a novel, intellectually stimulating context Potential for ongoing work and contract extension as new projects launch