Applied Physics Specialist

Applied Physics Specialist (AI Training) About The Role What 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 stress-test cutting-edge AI models — probing their reasoning, exposing their blind spots, and helping ensure they never violate the fundamental laws of the universe. This is a fully remote, flexible contract role built for researchers and specialists who want to contribute to something genuinely important in AI — without leaving their field behind. Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/week What You'll Do Design PhD-Level Problems — Craft advanced, open-ended physics problems that demand multi-step logical reasoning, rigorous mathematical derivation, and mastery of physical principles across domains like quantum mechanics, electromagnetism, and thermodynamicsAuthor Gold-Standard Solutions — Produce precise, step-by-step "golden responses" with flawless units, physical constants, and logical flow — the benchmark against which AI outputs are measuredAudit AI Reasoning — Evaluate AI-generated proofs, derivations, and simulations for physical consistency; identify where models "hallucinate" physics that violates first principlesRefine Model Behaviour — Provide structured, expert feedback that helps AI systems develop genuine physics-informed reasoning — respecting boundary conditions, conservation laws, and physical constraints Who You Are Holds a PhD (completed or near completion) in Applied Physics, Physics, Engineering Physics, or a closely related fieldDeep mastery of core physics pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum MechanicsExceptional ability to communicate complex physical phenomena and mathematical derivations in clear, structured proseUncompromising attention to detail — units, scientific notation, and proof structure are never an afterthoughtSelf-directed and comfortable working independently on analytical tasksNo prior AI or machine learning experience required Nice to Have Experience with data annotation, scientific dataset evaluation, or quality assurance in research contextsProficiency with computational tools such as MATLAB, COMSOL, Python (NumPy/SciPy), or similarBackground in research publishing, academic benchmarking, or peer review Why Join Us Work on genuinely high-impact AI projects in collaboration with world-leading research labsFully remote and flexible — structure your hours around your existing commitmentsFreelance autonomy: choose your pace, work asynchronously, and maintain full independenceGet rare, hands-on exposure to how frontier LLMs are trained and evaluatedContribute to a mission that matters — ensuring AI respects the laws that govern the physical universePotential for ongoing work and contract extension as new projects launch