Applied Physics Specialist

Applied Physics Specialist (AI Training)
About The Role
What if your years of physics training could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to rigorously challenge cutting-edge AI models — exposing the 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 built for researchers and specialists who want to apply their expertise beyond the lab. No AI background required — just deep, battle-tested knowledge of physics.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Design Advanced Problems — Craft PhD-level, open-ended physics problems that demand multi-step reasoning, rigorous mathematical derivation, and mastery of first principles across quantum mechanics, electromagnetism, thermodynamics, and beyond
Author Gold-Standard Solutions — Write precise, step-by-step "golden responses" that serve as the benchmark for correct physical reasoning — every unit, constant, and logical step verified
Audit AI Reasoning — Evaluate AI-generated proofs, simulations, and explanations for physical consistency, identifying where models "hallucinate" physics that violates conservation laws, boundary conditions, or established theory
Refine Model Behavior — Provide structured, expert feedback that directly improves how AI models reason about the physical world — from classical mechanics to quantum systems
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 communicate complex physical reasoning and mathematical derivations in clear, structured written English
Uncompromising attention to detail — units, notation, dimensional analysis, and logical rigor are second nature to you
Self-directed and reliable working independently in an asynchronous environment
No prior AI or data annotation experience required
Nice to Have
Experience with scientific data evaluation, annotation, or quality review workflows
Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
Background in research-level benchmarking or academic problem design
Why Join Us
Work on high-impact AI projects in collaboration with leading AI research labs
Fully remote and flexible — structure your hours around your existing commitments
Freelance autonomy: choose your pace, work asynchronously, and contribute globally
Apply your expertise to problems that matter — helping AI reason correctly about the physical world
Exposure to how frontier large language models are trained and evaluated
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes