Applied Physics

Applied Physics (AI Training)
About The Role
What if your years of physics training could directly influence how AI understands the physical world — from quantum mechanics to thermodynamics? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models, expose their reasoning failures, and help build systems that genuinely respect the fundamental laws of nature.
This is a fully remote, flexible contract role built for researchers and domain experts who want to do meaningful, intellectually stimulating work on their own schedule. No prior AI experience required — just deep physics expertise and a sharp analytical mind.
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 logical reasoning, rigorous mathematical derivation, and deep conceptual understanding across topics like quantum mechanics, electrodynamics, and thermodynamics
Author Ground-Truth Solutions — Write definitive, step-by-step "golden responses" where every physical constant, unit conversion, and logical inference is airtight and defensible
Audit AI Reasoning — Evaluate AI-generated simulations, proofs, and explanations for physical consistency — identifying where models "hallucinate" physics that violates first principles like conservation of energy or momentum
Refine Model Behavior — Provide structured, expert feedback that helps AI systems develop more robust physics-informed reasoning, including correct handling of boundary conditions, symmetry arguments, and physical constraints
Who You Are
Holds a PhD (completed or near-final stage) 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 at explaining complex physical phenomena and mathematical derivations in clear, structured English
Uncompromising attention to detail — units, scientific notation, dimensional analysis, and logical proof structure all matter to you
Self-motivated and comfortable working independently on technical tasks
No prior AI or data annotation experience required
Nice to Have
Experience with data annotation, scientific dataset evaluation, or quality assurance for technical content
Proficiency with computational tools such as MATLAB, COMSOL, Python (NumPy/SciPy), or similar
Background in physics education, research publishing, or technical writing
Familiarity with AI or language model evaluation workflows
Why Join Us
Work on high-impact AI projects in collaboration with leading AI research labs
Fully remote and asynchronous — work when and where it suits you
Freelance autonomy with the intellectual depth of research-grade work
Put your expertise to use on problems that genuinely challenge you
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes