Applied Physics (AI Training)

About The Role
What if your deep expertise in physics could directly shape how AI understands the physical world — from quantum mechanics to thermodynamics to electrodynamics? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models, expose their reasoning failures, and help ensure they never violate the fundamental laws of the universe. This is a fully remote, adaptable contract role. No AI background needed — just mastery of physics and an uncompromising eye for scientific rigour.
• Organization: Alignerr
• Type: Hourly Contract
•

Location:
Remote
• Commitment: 10–40 hours/week

What You'll Do
• Design Advanced Physics Problems — Craft PhD-qualifying-level problems that demand multi-step mathematical derivation and deep physical reasoning across topics like quantum mechanics, electromagnetism, and thermodynamics
• Author Gold-Standard Solutions — Write rigorous, step-by-step "golden responses" where every unit, constant, and logical step is precisely correct
• Audit AI Reasoning — Evaluate AI-generated proofs and simulations 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 teaches AI to reason with proper physical constraints — boundary conditions, symmetry arguments, and conservation laws included
• Document Failure Modes — Systematically record how and where AI reasoning breaks down,



contributing directly to model improvement efforts at the frontier of AI research Who You Are
• Holds a PhD (completed or in final stages) in Applied Physics, Physics, Engineering Physics, or a closely related field
• Deep command of the four pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
• Exceptional analytical writing skills — you can explain a complex derivation as clearly as you can solve it
• Obsessively precise about units, scientific notation, and the logical integrity of a physical argument
• Self-motivated and comfortable working independently on complex, open-ended 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 Python (NumPy/SciPy), MATLAB, or COMSOL
• Background in research involving simulation, modelling, or experimental physics
• Familiarity with AI tools or large language models as an end user Why Join Us
• Work on some of the most technically demanding AI projects in the world, alongside leading research labs
• Fully remote and flexible — structure your hours around your life, not the other way around
• Freelance autonomy with the intellectual depth of meaningful, expert-level work
• Direct, tangible impact on how AI reasons about the physical world at a foundational level
• Potential for ongoing work and contract extension as new projects launch

📌 Applied Physics (Australia)
🏢 Alignerr
📍 Australia