Applied Physics
About this role
About the Role What if your deep expertise in physics could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to stress-test cutting-edge Large Language Models — exposing the gaps in their reasoning and helping ensure they never violate the fundamental laws that govern reality. 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 — just a command of physics that goes all the way down to first principles. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design advanced physics problems — craft open-ended, multi-step challenges at PhD qualifying exam level, spanning quantum mechanics, electrodynamics, thermodynamics, and classical mechanics - Author rigorous ground-truth solutions — produce step-by-step "golden responses" with exacting precision across every constant, unit, and derivation - Audit AI-generated physics — evaluate model outputs for physical consistency, identifying where AI "hallucinates" results that violate first principles - Refine model reasoning — provide structured, expert feedback that helps AI systems better handle boundary conditions, conservation laws, and physics-informed constraints - Work independently and asynchronously — fully on your own schedule Who You Are - Holds a PhD (completed or in final stages) in Applied Physics, Physics, Engineering Physics, or a closely related field - Deep mastery across the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics - Exceptional analytical writing skills — you can explain complex derivations clearly and precisely in structured English - Uncompromising attention to detail when it comes to units, scientific notation, and logical proof structure - Self-motivated and reliable when working independently - No prior AI or data annotation experience required Nice to Have - Prior experience with data annotation, dataset evaluation, or scientific quality assurance - Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL - Background in research-level benchmarking or academic problem design - Familiarity with AI or LLM evaluation workflows Why Join Us - Work on cutting-edge AI projects alongside leading AI research labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, high-impact work - Apply your physics expertise to one of the most consequential challenges in modern AI - Potential for ongoing work and contract extension as new projects launch
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