Applied Physics Specialist

About the Role

What if your deep expertise in physics could directly shape how AI understands the fundamental laws of the universe? We're looking for PhD-level Applied Physicists to probe the limits of cutting-edge Large Language Models — designing rigorous problems, exposing reasoning failures, and helping ensure that AI respects the principles that govern physical reality.

What You'll Do

• Design Advanced Problems — Craft PhD-qualifying-level physics problems that demand multi-step logical reasoning, mathematical derivation, and deep domain understanding across areas like quantum mechanics, electromagnetism, thermodynamics, and classical mechanics
• Author Gold-Standard Solutions — Write rigorous, step-by-step "golden responses" with flawless physical constants, unit conversions, and airtight logical flow
• Audit AI Reasoning — Evaluate AI-generated proofs and simulations for physical consistency, identifying where models "hallucinate" violations of first principles such as conservation of energy or momentum
• Refine Model Behavior — Provide structured, expert feedback that helps AI develop physics-informed reasoning — correctly handling boundary conditions, symmetry constraints, and physical limits
• Shape Research Benchmarks — Contribute to university-level and research-level evaluation datasets that push the boundaries of what AI can understand about the physical world

Who You Are

• Holds a PhD (completed or near completion) in Applied Physics, Physics, Engineering Physics, or a closely related field
• Has deep mastery across the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
• Writes with exceptional clarity — able to explain complex physical phenomena and mathematical derivations in structured, precise English
• Uncompromisingly detail-oriented when it comes to units, notation, dimensional analysis, and the logical integrity of a proof
• Self-motivated and reliable when working independently on task-based assignments

Nice to Have

• Experience with data annotation, scientific dataset evaluation, or quality assurance workflows
• Proficiency with tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
• Background in computational physics, theoretical physics, or applied mathematics
• Familiarity with AI or machine learning concepts as an end user or researcher

Why Join Us

• Work directly with leading AI research labs on genuinely cutting-edge projects
• Fully remote and async — work when and where it suits you, on your own schedule
• Freelance autonomy with the intellectual depth of meaningful, high-stakes scientific work
• Gain rare, firsthand exposure to how frontier LLMs are trained and evaluated
• Contribute to work that helps AI reason correctly about the physical world — with real-world impact at scale
• Potential for ongoing work and contract extension as new projects launch

Organization

Organization: Alignerr

Type

Type: Hourly Contract

Location

Location: Remote

Commitment

Commitment: 10–40 hours/week