Applied Physics Specialist

Applied Physics Specialist (AI Training)About The RoleWhat if your expertise in 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 these models break the fundamental laws of physics.This is a fully remote, flexible contract role built for researchers and physicists who want to do meaningful, high-impact work on their own schedule. No prior AI experience required — your deep domain knowledge is what matters.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoDesign Advanced Physics Problems — Craft challenging, open-ended problems at PhD qualifying exam level, requiring multi-step logical reasoning, rigorous derivation, and deep conceptual understandingAuthor Ground-Truth Solutions — Produce precise, step-by-step "golden responses" where every physical constant, unit conversion, and logical step is airtightAudit AI Reasoning — Evaluate AI-generated proofs and simulations for physical consistency, identifying where models hallucinate physics that violates first principlesRefine Model Reasoning — Provide structured, expert feedback that helps AI systems better understand physics-informed constraints — from boundary conditions to conservation lawsWork Across Core Domains — Apply your knowledge across Classical Mechanics, Electrodynamics, Statistical Mechanics, Quantum Mechanics, and related fieldsWho You ArePhD completed or near-completion in Applied Physics, Physics, Engineering Physics, or a closely related fieldDeep mastery of the core pillars of physics: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum MechanicsExceptional ability to communicate complex physical phenomena and mathematical derivations clearly and precisely in EnglishUncompromising attention to detail — units, scientific notation, and logical proof structure matter to you instinctivelySelf-motivated and reliable when working independently on task-based assignmentsNo prior AI or data annotation experience requiredNice to HaveExperience with data annotation, data quality evaluation, or scientific dataset reviewProficiency with tools such as MATLAB, COMSOL, Python (NumPy/SciPy), or similarBackground in research environments, technical writing, or academic publishingWhy Join UsWork on frontier AI projects alongside the world's leading AI research teams and labsFully remote and flexible — structure your hours around your life, not the other way aroundFreelance autonomy: no office, no rigid schedule, and no bureaucracyMake a direct, tangible impact on how AI models reason about the physical universeCollaborate with a global network of expert contributors across scientific disciplinesPotential for ongoing work and contract extension as new projects launch