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Job Description & How to Apply Below
About
The Role
What if your expertise in quantum mechanics, electrodynamics, and thermodynamics could directly shape how AI understands the physical world 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 respect the fundamental laws that govern our universe.
This is a fully remote, flexible contract role built for working researchers and academics. No prior AI experience needed — 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 challenging, open-ended problems at PhD qualifying exam level, requiring multi-step logical reasoning and mathematical derivation across topics like quantum mechanics, electromagnetism, and thermodynamics
Author Rigorous Model Solutions — Develop precise, step-by-step 'golden responses' that serve as ground-truth benchmarks, with flawless handling of physical constants, units, and derivations
Audit AI Reasoning — Evaluate AI-generated simulations, proofs, and explanations for physical consistency, identifying where models 'hallucinate' results that violate first principles
Refine Physics-Informed AI — Provide structured, expert feedback to improve how models reason about boundary conditions, conservation laws, symmetry, and physical constraints
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 communicate complex physical phenomena and mathematical derivations in clear, structured English
Uncompromising attention to detail — units, scientific notation, and logical proof flow matter to you
Self-directed and comfortable working independently in a fully asynchronous environment
No prior AI or machine learning experience required
Nice to Have
Experience with data annotation, dataset quality evaluation, or scientific benchmarking
Proficiency with computational tools such as MATLAB, COMSOL, Python (Num Py/Sci Py), or similar
Background in academic research, teaching, or scientific writing
Why Join Us
Work on frontier AI projects in collaboration with leading AI research labs
Fully remote and flexible — structure your hours around your existing commitments
Freelance autonomy with the substance of genuinely high-impact scientific work
Gain direct exposure to how large language models are trained and evaluated on advanced scientific reasoning
Potential for ongoing work and contract extension as new projects launch
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