Applied Physics

Applied Physics (AI Training) About The Role What if your deep understanding of the physical world could directly shape how AI reasons about reality? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models — exposing the gaps in their understanding of quantum mechanics, electromagnetism, thermodynamics, and more. This is a fully remote, flexible contract role. No prior AI experience needed — just mastery of physics and the ability to think rigorously about how the universe works. 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 logical reasoning and rigorous mathematical derivation across domains like quantum mechanics, electrodynamics, and statistical mechanicsAuthor Ground-Truth Solutions — Develop precise, step-by-step "golden responses" where every constant, unit conversion, and logical step is airtightAudit AI Reasoning — Evaluate AI-generated proofs and simulations for physical consistency, identifying where models "hallucinate" physics that violates first principlesRefine AI Thinking — Provide structured, expert feedback to improve how AI models handle boundary conditions, conservation laws, and physics-informed constraintsDocument Failure Modes — Systematically record how and where AI reasoning breaks down so models can be corrected and improved at a foundational level 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 analytical writing skills — you can explain complex derivations clearly and precisely in structured EnglishUncompromising attention to detail when it comes to units, notation, and the logical flow of a proofSelf-motivated and able to work independently without hand-holdingNo prior AI or machine learning experience required Nice to Have Experience with data annotation, dataset quality review, or scientific evaluation systemsProficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOLBackground in research publishing or technical writingFamiliarity with AI tools or large language models as an end user Why Join Us Work 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, task-based workGain rare, first-hand exposure to how cutting-edge AI models are built and trainedContribute to work that ensures AI understands and respects the fundamental laws of the universePotential for ongoing work and contract extension as new projects launch