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Applied Physics Specialist (AI Training)
About The Role
What if your deep expertise in physics could directly shape how AI understands the physical world — ensuring it respects the fundamental laws that govern everything from subatomic particles to cosmological systems?
We're looking for PhD-level Applied Physicists to join Alignerr and help train cutting-edge AI models. You'll design research-grade physics problems, expose flaws in AI reasoning, and build the benchmarks that push these models toward genuine physical understanding.
This is a fully remote, flexible contract role built for researchers and academics who want to contribute to something meaningful — on their own schedule.
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 problems at PhD qualifying exam level, spanning quantum mechanics, electromagnetism, thermodynamics, and beyond
Author Ground-Truth Solutions — Develop rigorous, step-by-step "golden responses" with precise physical constants, unit conversions, and airtight mathematical derivations
Audit AI Reasoning — Evaluate AI-generated proofs and simulations for physical consistency, identifying where models "hallucinate" results that violate first principles
Refine Model Behavior — Provide structured, expert feedback to improve AI reasoning around boundary conditions, conservation laws, and physics-informed constraints
Benchmark AI Understanding — Contribute to university- and research-level evaluation datasets that test the limits of what AI truly understands about the physical world
Who You Are
Holds a PhD (completed or near completion) in Applied Physics, Physics, Engineering Physics, or a closely related field
Deep mastery of core physics pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
Exceptional ability to communicate complex physical phenomena and mathematical derivations in clear, structured written English
Uncompromising attention to detail — units, notation, and logical flow matter to you
Self-directed and comfortable working independently on technical tasks
No prior AI experience required — your physics expertise is what counts
Nice to Have
Experience with data annotation, scientific dataset evaluation, or quality assurance
Proficiency with tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
Background in academic research, technical writing, or curriculum development
Familiarity with AI or LLM evaluation workflows
Why Join Us
Work on genuinely novel, intellectually stimulating problems at the frontier of AI research
Collaborate with teams working alongside the world's leading AI research labs
Fully remote and asynchronous — work when and where it suits you
Freelance autonomy with the structure of high-impact, task-based work
Contribute to AI development that could shape how future models understand the physical universe
Potential for ongoing work and contract extension as new projects launch
Work arrangement
Yes
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