Applied Physics Specialist
About this role
About the Role What if your years of graduate-level physics training could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to probe, challenge, and expose the limits of cutting-edge Large Language Models — ensuring they reason correctly about everything from quantum mechanics to thermodynamics. This is a fully remote, flexible contract role built for researchers and academics who want high-impact work on their own schedule. No prior AI experience required — just deep domain expertise and a rigorous analytical mind. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design advanced physics problems — craft PhD qualifying exam-level challenges requiring multi-step logical reasoning, mathematical derivation, and first-principles thinking across topics like quantum mechanics, electromagnetism, and thermodynamics - Author rigorous ground-truth solutions — produce step-by-step "golden responses" with flawless handling of physical constants, units, and logical proof structure - Audit AI-generated physics — evaluate model outputs for physical consistency, identifying where AI "hallucinates" results that violate conservation laws, boundary conditions, or other fundamental principles - Provide structured feedback — deliver clear, detailed evaluations that help improve physics-informed reasoning in AI models, covering constraints like symmetry, conservation of energy, and momentum Who You Are - PhD completed or in final stages in Applied Physics, Physics, Engineering Physics, or a closely related field - Deep mastery across the core pillars of physics: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics - Exceptional ability to explain complex physical phenomena and mathematical derivations in clear, structured English - Uncompromising attention to detail — units, scientific notation, dimensional analysis, and proof logic are second nature to you - Self-motivated and comfortable working independently and asynchronously - No prior AI or data annotation experience required Nice to Have - Experience with data annotation, data quality workflows, or scientific dataset evaluation - Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL - Background in research benchmarking or academic assessment design Why Join Us - Work on genuinely cutting-edge AI projects in collaboration with leading AI research labs - Fully remote and flexible — structure your hours around your existing commitments - Freelance autonomy with meaningful, intellectually stimulating work - Direct, tangible impact on how AI models understand and reason about the physical universe - Potential for ongoing work and contract extension as new projects launch
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