Applied Physics

Applied Physics (AI Training)About The RoleWhat if your years of rigorous physics training could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to stress-test and improve the reasoning of cutting-edge Large Language Models — ensuring they don't just sound smart, but actually think in ways that respect the fundamental laws of the universe.This is a fully remote, flexible contract role built for researchers and academics who want to apply their expertise beyond the lab. No prior AI experience required — just deep domain knowledge and a sharp analytical mind.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoDesign Advanced Physics Problems — Craft complex, open-ended problems at PhD qualifying exam level that demand multi-step logical reasoning, mathematical derivation, and first-principles thinkingAuthor Ground-Truth Solutions — Produce rigorous, step-by-step "golden responses" where every physical constant, unit conversion, and logical step is exactly rightAudit AI Reasoning — Evaluate AI-generated simulations, derivations, and proofs for physical consistency; identify where models "hallucinate" physics that violates conservation laws or boundary conditionsRefine Model Behaviour — Provide structured, expert feedback that helps AI systems develop genuinely physics-informed reasoning across topics like quantum mechanics, electrodynamics, and thermodynamicsWork Independently — Complete task-based assignments asynchronously, fully on your own scheduleWho You ArePhD completed or in final stages 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 explain complex physical phenomena and mathematical derivations in clear, structured EnglishUncompromising attention to detail — you notice when a unit is off, a sign is wrong, or a proof skips a stepSelf-motivated and reliable when working independentlyNo prior AI or machine learning experience requiredNice to HaveExperience with data annotation, scientific dataset evaluation, or quality assurance workflowsProficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOLBackground in research, academic publishing, or technical writingFamiliarity with AI tools or language model evaluation as an end userWhy Join UsWork on high-impact AI projects alongside world-leading research labsFully remote and flexible — work when and where it suits youFreelance autonomy with the structure of meaningful, intellectually demanding workApply your physics expertise in a genuinely novel and consequential domainPotential for ongoing work and contract extension as new projects launch