Applied Physics Specialist

Applied Physics Specialist (AI Training) About The Role What if your expertise in quantum mechanics, electromagnetism, and thermodynamics could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to put cutting-edge AI models through their paces — designing rigorous problems, exposing flawed reasoning, and ensuring that AI respects the fundamental laws of the universe. This is a fully remote, flexible contract role built for serious 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/week What You'll Do Design Advanced Problems: Construct PhD qualifying-level physics problems that demand multi-step logical reasoning, rigorous mathematical derivation, and mastery of core physical principlesAuthor Gold-Standard Solutions: Write precise, step-by-step "golden responses" with flawless unit conversions, physical constants, and airtight logical flowAudit AI Reasoning: Evaluate AI-generated simulations, proofs, and explanations for physical consistency — identifying where models "hallucinate" physics that violates first principlesRefine AI Behaviour: Provide structured, expert feedback to improve how AI models handle constraints like boundary conditions, conservation laws, and energy-momentum relationshipsWork Across Core Domains: Tackle problems spanning quantum mechanics, classical mechanics, electrodynamics, statistical mechanics, and thermodynamics Who You Are Holds a PhD (completed or near completion) in Applied Physics, Physics, Engineering Physics, or a closely related fieldDeep mastery across the core pillars of physics: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum MechanicsExceptional ability to communicate complex physical phenomena and mathematical derivations in clear, structured EnglishUncompromising attention to detail — units, scientific notation, and logical proof structure matter to youSelf-directed and reliable when working independently on a flexible scheduleNo prior AI or data annotation experience required Nice to Have Experience with data annotation, dataset quality review, or scientific evaluation systemsProficiency with tools such as MATLAB, COMSOL, Python (NumPy/SciPy), or similarBackground in research, teaching, or technical writing at the graduate level Why Join Us Work on cutting-edge AI projects in collaboration with leading AI research labsFully remote and flexible — work when and where suits you, within your chosen weekly hoursFreelance autonomy with the structure of meaningful, high-quality technical workDirect, tangible impact on how AI systems reason about the physical worldExposure to frontier large language models and how they are trained and evaluatedPotential for ongoing work and contract extension as new projects launch