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 respects the fundamental laws that govern reality? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models on university and research-level physics, exposing the gaps in their reasoning so they can be fixed.

This is a fully remote, flexible contract role built for researchers and specialists who want to stay sharp, work independently, and make a real impact on the future of AI — without leaving their area of expertise.

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

• Design Advanced Problems — Craft challenging, open-ended physics problems at PhD qualifying exam level, requiring multi-step logical reasoning and rigorous mathematical derivation 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 exactly right
• Audit AI Reasoning — Evaluate AI-generated simulations, proofs, and derivations for physical consistency — identifying where models "hallucinate" physics that violates first principles
• Refine Model Behaviour — Provide structured, expert feedback that helps AI systems reason correctly about boundary conditions, conservation laws, and the deep structure of physical reality

• Hold a PhD (completed or near-completion) in Applied Physics, Physics, Engineering Physics, or a closely related field
• Have mastery across the core pillars of physics:
  Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
• Write with exceptional clarity — able to explain complex physical phenomena and mathematical derivations in structured, precise English
• Possess an uncompromising eye for detail: units, scientific notation, dimensional analysis, and the logical flow of a proof
• Self-motivated and comfortable working independently on an asynchronous schedule
• No prior AI or data annotation experience required

• Experience with data annotation, data quality review, or scientific dataset evaluation
• Proficiency with computational tools such as Python (Num Py/Sci Py), MATLAB, or COMSOL
• Background in research, academic publishing, or physics education

• Work at the frontier of AI development alongside world-leading research labs
• Fully remote and flexible — work when and where suits you, on your own schedule
• Freelance autonomy with the substance of genuinely meaningful, high-level work
• Keep your physics knowledge sharp while contributing to something that matters beyond the lab
• Potential for ongoing work and contract extension as new projects launch