Alignerr
Applied Physics Specialist
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Applied Physics Specialist (AI Training)
About The Role
What if your years of physics training could directly shape how AI understands the fundamental laws of the universe? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models — exposing the gaps in their physical reasoning and helping ensure they never violate conservation of energy, momentum, or any other pillar of reality.
This is a fully remote, flexible contract role. No prior AI experience needed — just deep domain mastery and a rigorous scientific mind.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design PhD-level physics problems — craft advanced, open-ended challenges requiring multi-step logical reasoning and mathematical derivation across quantum mechanics, electrodynamics, thermodynamics, and more
- Author rigorous ground-truth solutions — produce step-by-step "golden responses" where every physical constant, unit conversion, and derivation is airtight
- Audit AI-generated physics — evaluate model outputs for physical consistency, identifying where AI "hallucinates" results that violate first principles or boundary conditions
- Refine model reasoning — provide structured, expert feedback that trains AI to reason in a physics-informed way, respecting conservation laws and real-world constraints
- Work independently and asynchronously — fully on your own schedule
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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: 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, and logical proof structure are second nature to you
- Self-motivated and precise when working independently
- No prior AI or data annotation experience required
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Nice to Have
- Experience with data annotation, scientific dataset evaluation, or quality assurance workflows
- Proficiency with computational tools such as MATLAB, COMSOL, or Python (NumPy/SciPy)
- Background in research-level benchmarking or physics education
Why Join Us
- Work alongside world-leading AI research teams on genuinely frontier problems
- Fully remote and flexible — structure your work around your life, not the other way around
- Freelance autonomy with the substance of high-impact, intellectually demanding work
- Gain rare, hands-on exposure to how advanced large language models are built and trained
- Contribute to AI systems that get physics right — work that matters at a fundamental level
- Potential for ongoing work and contract extension as new projects launch
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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