Applied Physics
About this role
About the Role What if your deep expertise in physics could directly shape how AI understands the physical world — from quantum mechanics to thermodynamics to electrodynamics? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models, expose their reasoning failures, and help ensure they never violate the fundamental laws of the universe. This is a fully remote, flexible contract role. No AI background needed — just mastery of physics and an uncompromising eye for scientific rigour. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Advanced Physics Problems — Craft PhD-qualifying-level problems that demand multi-step mathematical derivation and deep physical reasoning across topics like quantum mechanics, electromagnetism, and thermodynamics - Author Gold-Standard Solutions — Write rigorous, step-by-step "golden responses" where every unit, constant, and logical step is precisely correct - Audit AI Reasoning — Evaluate AI-generated proofs and simulations for physical consistency, identifying where models "hallucinate" physics that violates first principles like conservation of energy or momentum - Refine Model Behaviour — Provide structured, expert feedback that teaches AI to reason with proper physical constraints — boundary conditions, symmetry arguments, and conservation laws included - Document Failure Modes — Systematically record how and where AI reasoning breaks down, contributing directly to model improvement efforts at the frontier of AI research Who You Are - Holds a PhD (completed or in final stages) in Applied Physics, Physics, Engineering Physics, or a closely related field - Deep command of the four pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics - Exceptional analytical writing skills — you can explain a complex derivation as clearly as you can solve it - Obsessively precise about units, scientific notation, and the logical integrity of a physical argument - Self-motivated and comfortable working independently on complex, open-ended tasks - No prior AI or data annotation experience required Nice to Have - Experience with data annotation, scientific dataset evaluation, or quality assurance for technical content - Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL - Background in research involving simulation, modelling, or experimental physics - Familiarity with AI tools or large language models as an end user Why Join Us - Work on some of the most technically demanding AI projects in the world, alongside leading research labs - Fully remote and flexible — structure your hours around your life, not the other way around - Freelance autonomy with the intellectual depth of meaningful, expert-level work - Direct, tangible impact on how AI reasons about the physical world at a foundational level - Potential for ongoing work and contract extension as new projects launch
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