Applied Physics Specialist

Applied Physics Specialist (AI Training)

About the Role

What if your deep expertise in physics could directly shape how AI understands the physical world — ensuring it never violates the laws of thermodynamics, mishandles a quantum boundary condition, or hallucinates a conservation law?

We're looking for PhD-level Applied Physicists to challenge cutting-edge Large Language Models on their grasp of physical reality. Your job is to find where AI reasoning breaks down — and help fix it. You'll design problems that push models to their limits, author rigorous ground-truth solutions, and audit AI outputs for physical consistency.

This is a fully remote, flexible contract role built for researchers and domain experts who want high-impact work on their own terms.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Design Advanced Problems — Craft complex, open-ended physics problems at PhD qualifying exam level, requiring multi-step logical reasoning and rigorous mathematical derivation
• Author Ground-Truth Solutions — Develop precise, step-by-step "golden responses" with flawless physical constants, unit conversions, and logical flow
• Audit AI Reasoning — Evaluate AI-generated proofs and simulations for physical consistency, identifying where models hallucinate or violate first principles
• Refine Model Behaviour — Provide structured, expert feedback that improves AI reasoning around conservation laws, boundary conditions, and physics-informed constraints
• Work Across Core Domains — Engage with topics spanning quantum mechanics, electrodynamics, thermodynamics, statistical mechanics, and classical mechanics

Who You Are

• PhD completed or near-completion in Applied Physics, Physics, Engineering Physics, or a closely related field
• Deep mastery across the core pillars of physics: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
• Exceptional analytical writing skills — you can explain complex derivations clearly and precisely in English
• Uncompromising attention to detail: units, scientific notation, and logical proof structure are second nature to you
• Self-motivated and comfortable working independently on an asynchronous schedule
• No prior AI experience required

Nice to Have

• Experience with data annotation, scientific dataset evaluation, or quality assurance workflows
• Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
• Background in academic research, technical writing, or physics education

Why Join Us

• Work at the frontier of AI development alongside leading research labs and teams
• Fully remote and flexible — structure your hours around your life and existing commitments
• Freelance autonomy with meaningful, intellectually stimulating work
• Direct impact on how AI models understand and reason about the physical universe
• Exposure to advanced LLM training pipelines and evaluation methodologies
• Potential for ongoing work and contract extension as new projects launch