Applied Physics Specialist

Applied Physics Specialist (AI Training) About The Role What if your years of physics training could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to rigorously challenge cutting-edge AI models — exposing the gaps in their reasoning, catching violations of fundamental physical laws, and helping build AI that truly understands how the universe works. This is a fully remote, flexible contract role built for researchers and specialists who want to apply their expertise beyond the lab. No AI background required — just deep, battle-tested knowledge of physics. Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/week What You'll Do Design Advanced Problems — Craft PhD-level, open-ended physics problems that demand multi-step reasoning, rigorous mathematical derivation, and mastery of first principles across quantum mechanics, electromagnetism, thermodynamics, and beyondAuthor Gold-Standard Solutions — Write precise, step-by-step "golden responses" that serve as the benchmark for correct physical reasoning — every unit, constant, and logical step verifiedAudit AI Reasoning — Evaluate AI-generated proofs, simulations, and explanations for physical consistency, identifying where models "hallucinate" physics that violates conservation laws, boundary conditions, or established theoryRefine Model Behavior — Provide structured, expert feedback that directly improves how AI models reason about the physical world — from classical mechanics to quantum systems Who You Are PhD completed or in final stages in Applied Physics, Physics, Engineering Physics, or a closely related fieldDeep mastery across the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum MechanicsExceptional ability to communicate complex physical reasoning and mathematical derivations in clear, structured written EnglishUncompromising attention to detail — units, notation, dimensional analysis, and logical rigor are second nature to youSelf-directed and reliable working independently in an asynchronous environmentNo prior AI or data annotation experience required Nice to Have Experience with scientific data evaluation, annotation, or quality review workflowsProficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOLBackground in research-level benchmarking or academic problem design Why Join Us Work on high-impact AI projects in collaboration with leading AI research labsFully remote and flexible — structure your hours around your existing commitmentsFreelance autonomy: choose your pace, work asynchronously, and contribute globallyApply your expertise to problems that matter — helping AI reason correctly about the physical worldExposure to how frontier large language models are trained and evaluatedPotential for ongoing work and contract extension as new projects launch