Applied Physics Specialist

Applied Physics Specialist (AI Training)
About The Role
What if your years of physics training could directly influence how AI understands the physical world? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models — designing rigorous problems, auditing AI reasoning, and ensuring these systems never violate the fundamental laws that govern reality.
This is a fully remote, flexible contract role built for researchers and scientists who want to contribute to something genuinely consequential. No prior AI experience needed — just deep mastery of physics and the ability to think critically about where AI reasoning breaks down.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Design Advanced Problems: Craft PhD qualifying exam-level physics problems that demand multi-step logical reasoning, rigorous mathematical derivation, and mastery of physical principles across domains like quantum mechanics, electromagnetism, and thermodynamics
Author Ground-Truth Solutions: Develop precise, step-by-step "golden responses" — where every physical constant, unit conversion, and logical step is airtight and correct
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 Behaviour: Provide structured, expert feedback that helps AI systems develop genuine physics-informed reasoning, including correct handling of boundary conditions, symmetry constraints, and conservation laws
Who You Are
PhD completed or in final stages 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 complex derivations in clear, structured English without sacrificing rigour
Obsessively precise about units, scientific notation, dimensional analysis, and the logical flow of a proof
Self-motivated and comfortable working independently on task-based assignments
No prior AI or data annotation 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 research-level benchmarking or physics education
Why Join Us
Work on high-impact AI projects alongside the world's leading AI research labs
Fully remote and flexible — work on your own schedule, wherever you are
Apply your deepest expertise to problems that actually matter for the future of AI
Freelance autonomy with the satisfaction of meaningful, intellectually demanding work
Exposure to frontier AI models and how they are trained and evaluated
Potential for ongoing work and contract extension as new projects launch

Work arrangement
No