Applied Physics

Applied Physics (AI Training)
About The Role
What if your deep expertise in physics 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 — probing their reasoning, exposing their blind spots, and helping ensure they respect principles like conservation of energy, quantum mechanics, and electrodynamics.
This is a fully remote, flexible contract role built for researchers and domain experts who want to do meaningful, high-impact work on their own schedule. No prior AI experience required — just mastery of physics 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 complex, open-ended problems at PhD qualifying exam level, requiring multi-step logical reasoning and precise mathematical derivation across topics like quantum mechanics, thermodynamics, and electrodynamics
Author Ground-Truth Solutions — Write rigorous, step-by-step "golden responses" where every physical constant, unit conversion, and logical step is exactly right
Audit AI Reasoning — Evaluate AI-generated proofs and simulations for physical consistency, identifying where models "hallucinate" physics that violates first principles
Refine Model Behaviour — Provide structured, expert feedback that improves an AI's ability to apply physics-informed reasoning — including boundary conditions, symmetry arguments, and conservation laws
Work Independently — Complete task-based assignments fully asynchronously, on your own schedule
Who You Are
Holds a PhD (completed or near completion) in Applied Physics, Physics, Engineering Physics, or a closely related field
Deep command of the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
Exceptional analytical writing ability — you can explain a complex derivation clearly, precisely, and in structured English
Uncompromising attention to detail when it comes to units, scientific notation, and proof logic
Self-motivated and reliable when working independently without close supervision
No prior AI or machine learning experience required
Nice to Have
Experience with data annotation, scientific dataset evaluation, or quality assurance for research outputs
Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
Background in physics education, academic publishing, or technical writing
Familiarity with AI tools or large language models as an end user
Why Join Us
Work on cutting-edge AI projects alongside world-leading research labs
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, intellectually stimulating work
Make a direct, lasting impact on how AI reasons about the physical world
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes