Applied Physics

Applied Physics — AI Data TrainerWhat if your expertise in quantum mechanics, electrodynamics, and thermodynamics could directly shape how AI understands the physical universe? We're looking for PhD-level Applied Physicists to stress-test cutting-edge Large Language Models — exposing the gaps, hallucinations, and reasoning failures that occur when AI tries to grapple with the fundamental laws of nature.This is a fully remote, flexible contract role built for researchers and scientists who want to do meaningful, intellectually rigorous 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 complex, open-ended problems at PhD qualifying exam level, requiring multi-step logical reasoning, mathematical derivation, and first-principles thinking across subfields like quantum mechanics, electrodynamics, statistical mechanics, and classical mechanicsAuthor Rigorous Ground-Truth Solutions — Develop precise, step-by-step "golden responses" where every physical constant, unit conversion, and logical transition is held to the highest standard of scientific accuracyAudit AI Reasoning — Evaluate AI-generated simulations, proofs, and explanations for physical consistency; identify where models "hallucinate" physics that violates conservation laws, boundary conditions, or other fundamental principlesProvide Structured Feedback — Document failure modes clearly and deliver actionable feedback that helps AI systems develop genuinely physics-informed reasoningWork Independently — Complete task-based assignments asynchronously, on a schedule that works for youWho You AreHolds a PhD (completed or near-final stage) in Applied Physics, Physics, Engineering Physics, or a closely related fieldMastery across the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum MechanicsExceptional analytical writing ability — you can explain complex derivations and physical phenomena with clarity, precision, and structureUncompromising attention to detail when it comes to units, scientific notation, mathematical logic, and physical consistencySelf-directed and reliable when working independentlyNo prior AI or data annotation experience requiredNice to HaveExperience with data annotation, scientific dataset evaluation, or quality review workflowsProficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOLBackground in research involving simulation, modeling, or experimental physicsFamiliarity with AI tools or language models as an end userWhy Join UsWork on cutting-edge AI projects alongside leading AI research labsFully remote and flexible — work when and where it suits youApply your PhD-level expertise to problems that genuinely challenge you intellectuallyFreelance autonomy with the structure of meaningful, high-impact workGain rare, first-hand exposure to how frontier AI models are trained and evaluatedPotential for ongoing work and contract extension as new projects launch