Applied Physics Specialist

Applied Physics Specialist (AI Training)About The RoleWhat if your mastery of quantum mechanics, electrodynamics, and thermodynamics could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to put cutting-edge Large Language Models through their paces — designing rigorous problems, auditing AI reasoning, and documenting exactly where models violate the fundamental laws of physics.This is a fully remote, flexible contract role built for researchers and specialists who think in first principles. No prior AI experience needed — just deep domain expertise and an uncompromising eye for physical correctness.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoDesign advanced, open-ended physics problems at the PhD qualifying exam level — multi-step, mathematically rigorous, and deliberately challenging for AI systemsAuthor definitive "golden" solutions with precise step-by-step derivations, correct physical constants, and flawless unit conversionsAudit AI-generated proofs and simulations for physical consistency — identifying where models "hallucinate" physics that violates first principlesProvide structured, expert feedback to improve AI reasoning around boundary conditions, conservation laws, and physically constrained systemsWork across core physics domains including Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum MechanicsComplete task-based assignments independently on your own scheduleWho You AreHold a PhD (completed or nearing completion) in Applied Physics, Physics, Engineering Physics, or a closely related fieldDeep, practitioner-level command of the core pillars of physics — Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum MechanicsExceptional ability to explain complex physical phenomena and mathematical derivations in clear, structured EnglishUncompromising attention to detail — you notice a wrong sign, a missing dimension, or a broken symmetry immediatelySelf-motivated and reliable when working independently on technical tasksNo prior AI or machine learning experience requiredNice to HavePrior experience with data annotation, scientific dataset evaluation, or quality review for research contentProficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOLBackground in research benchmarking or academic problem designFamiliarity with AI tools or LLMs as an end userWhy Join UsWork on high-impact AI projects alongside the world's leading research labsFully remote and flexible — work when and where it suits youFreelance autonomy with the structure of meaningful, intellectually stimulating workGain direct exposure to how frontier AI models are trained and evaluatedContribute to ensuring AI reasoning is grounded in physical reality — work that genuinely mattersPotential for ongoing work and contract extension as new projects launch