Applied Physics

Applied Physics — AI Data Trainer
About The Role
What if your expertise in quantum mechanics, electrodynamics, and thermodynamics could directly shape how AI understands the physical universe? We're looking for PhD-level Applied Physicists to stress-test cutting-edge Large Language Models — exposing the gaps, hallucinations, and reasoning failures that occur when AI tries to grapple with the fundamental laws of nature.
This is a fully remote, flexible contract role built for researchers and scientists who want to do meaningful, intellectually rigorous work on their own schedule. No prior AI experience required — your deep domain knowledge is what matters.
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, mathematical derivation, and first-principles thinking across subfields like quantum mechanics, electrodynamics, statistical mechanics, and classical mechanics
Author Rigorous Ground-Truth Solutions — Develop precise, step-by-step "golden responses" where every physical constant, unit conversion, and logical transition is held to the highest standard of scientific accuracy
Audit AI Reasoning — Evaluate AI-generated simulations, proofs, and explanations for physical consistency; identify where models "hallucinate" physics that violates conservation laws, boundary conditions, or other fundamental principles
Provide Structured Feedback — Document failure modes clearly and deliver actionable feedback that helps AI systems develop genuinely physics-informed reasoning
Work Independently — Complete task-based assignments asynchronously, on a schedule that works for you
Who You Are
Holds a PhD (completed or near-final stage) in Applied Physics, Physics, Engineering Physics, or a closely related field
Mastery across the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
Exceptional analytical writing ability — you can explain complex derivations and physical phenomena with clarity, precision, and structure
Uncompromising attention to detail when it comes to units, scientific notation, mathematical logic, and physical consistency
Self-directed and reliable when working independently
No prior AI or data annotation experience required
Nice to Have
Experience with data annotation, scientific dataset evaluation, or quality review workflows
Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
Background in research involving simulation, modeling, or experimental physics
Familiarity with AI tools or language models as an end user
Why Join Us
Work on cutting-edge AI projects alongside leading AI research labs
Fully remote and flexible — work when and where it suits you
Apply your PhD-level expertise to problems that genuinely challenge you intellectually
Freelance autonomy with the structure of meaningful, high-impact work
Gain rare, first-hand exposure to how frontier AI models are trained and evaluated
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes