Applied Physics Specialist

What if your deep expertise in physics could directly influence how AI understands the fundamental laws of the universe? We're looking for PhD-level Applied Physicists to stress-test cutting-edge Large Language Models — exposing the gaps in their physical reasoning and helping shape the next generation of scientifically grounded AI.

This is a fully remote, flexible contract role. No prior AI experience needed — just a mastery of physics and an uncompromising eye for scientific rigor.

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

• Design Advanced Problems:
  Craft PhD-level, open-ended physics problems requiring multi-step logical reasoning and rigorous mathematical derivation — think qualifying exam difficulty and beyond
• Author Ground-Truth Solutions:
  Write precise, step-by-step "golden responses" with flawless physical constants, unit conversions, and logical flow
• Audit AI Reasoning:
  Evaluate AI-generated simulations and proofs for physical consistency — pinpointing exactly where models hallucinate physics that violates first principles
• Refine Model Behavior:
  Provide structured, expert feedback to improve physics-informed reasoning across topics like boundary conditions, conservation laws, and symmetry principles
• Document Failure Modes:
  Build a rigorous record of how and where AI reasoning breaks down — from quantum mechanics to thermodynamics

• Holds a 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 ability to communicate complex physical phenomena and mathematical derivations in clear, structured English
• Uncompromising precision with units, scientific notation, and the logical integrity of a proof
• Self-motivated and reliable when working independently on technical tasks
• No prior AI or data annotation experience required

• Experience with data annotation, scientific dataset evaluation, or quality assurance workflows
• Proficiency with MATLAB, COMSOL, Python (Num Py/Sci Py), or similar tools
• Background in research spanning multiple subfields of physics
• Familiarity with AI tools or language model behavior as an end user

• Work on high-impact AI projects in direct collaboration with leading AI research labs
• Fully remote and flexible — work on your own schedule, from anywhere
• Freelance autonomy with the structure of meaningful, technically rigorous work
• Gain firsthand exposure to how state-of-the-art LLMs are trained and evaluated
• Contribute to ensuring that AI systems genuinely respect the laws of physics
• Potential for ongoing work and contract extension as new projects launch