Applied Physics Specialist
About this role
About the Role What if your PhD-level expertise in physics could directly shape how AI understands the physical world? We're looking for Applied Physics Specialists to rigorously challenge large language models — exposing 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 designed for practicing physicists and advanced PhD candidates who want to apply their expertise to one of the most consequential problems in modern AI. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design PhD-Level Problems: Craft advanced, open-ended physics problems — equivalent in depth and rigor to qualifying exam questions — that require multi-step logical reasoning and complex mathematical derivation - Author Gold-Standard Solutions: Write meticulous, step-by-step solutions that serve as ground-truth references, with flawless handling of physical constants, units, and derivation logic - Audit AI Reasoning: Evaluate AI-generated proofs, simulations, and explanations for physical consistency — identifying where models "hallucinate" physics that violates first principles - Refine Model Behavior: Provide structured, expert feedback that improves how AI models handle physics-informed reasoning, including boundary conditions, conservation laws, and dimensional analysis - Work Across Core Domains: Apply your knowledge across quantum mechanics, electrodynamics, classical mechanics, thermodynamics, and statistical mechanics Who You Are - Holds a PhD (completed or near completion) in Applied Physics, Physics, Engineering Physics, or a closely related field - Deep, working mastery of the four pillars of physics: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics - Exceptional analytical writing skills — able to explain complex phenomena and derivations in clear, structured English - Uncompromising attention to detail when it comes to units, notation, dimensional consistency, and logical flow - Self-directed and comfortable working independently on complex, open-ended tasks - No prior AI experience required — your physics expertise is what matters Nice to Have - Prior experience with data annotation, scientific dataset evaluation, or quality assurance for technical content - Proficiency with tools such as MATLAB, COMSOL, Python (NumPy/SciPy), or similar computational physics environments - Research background involving simulation, modeling, or applied theoretical work Why Join Us - Work on high-impact AI projects in collaboration with leading AI research labs - Fully remote and asynchronous — work when and where it suits you - Freelance autonomy with the structure of meaningful, expert-level work - Direct exposure to how frontier LLMs are trained and evaluated - Contribute to ensuring AI systems respect the fundamental laws of the physical world - Potential for ongoing work and contract extension as new projects launch
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