Applied Physics Specialist

What if your expertise in quantum mechanics, electromagnetism, and thermodynamics could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to put cutting-edge AI models through their paces — designing rigorous problems, exposing flawed reasoning, and ensuring that AI respects the fundamental laws of the universe.

This is a fully remote, flexible contract role built for serious physicists who want to do meaningful, high-impact work on their own schedule. No prior AI experience required — your deep domain knowledge is what matters.

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

• Design Advanced Problems:
  Construct PhD qualifying-level physics problems that demand multi-step logical reasoning, rigorous mathematical derivation, and mastery of core physical principles
• Author Gold-Standard Solutions:
  Write precise, step-by-step "golden responses" with flawless unit conversions, physical constants, and airtight logical flow
• Audit AI Reasoning:
  Evaluate AI-generated simulations, proofs, and explanations for physical consistency — identifying where models "hallucinate" physics that violates first principles
• Refine AI Behaviour:
  Provide structured, expert feedback to improve how AI models handle constraints like boundary conditions, conservation laws, and energy-momentum relationships
• Work Across Core Domains:
  Tackle problems spanning quantum mechanics, classical mechanics, electrodynamics, statistical mechanics, and thermodynamics

• Holds a 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 ability to communicate complex physical phenomena and mathematical derivations in clear, structured English
• Uncompromising attention to detail — units, scientific notation, and logical proof structure matter to you
• Self-directed and reliable when working independently on a flexible schedule
• No prior AI or data annotation experience required

• Experience with data annotation, dataset quality review, or scientific evaluation systems
• Proficiency with tools such as MATLAB, COMSOL, Python (Num Py/Sci Py), or similar
• Background in research, teaching, or technical writing at the graduate level

• Work on cutting-edge AI projects in collaboration with leading AI research labs
• Fully remote and flexible — work when and where suits you, within your chosen weekly hours
• Freelance autonomy with the structure of meaningful, high-quality technical work
• Direct, tangible impact on how AI systems reason about the physical world
• Exposure to frontier large language models and how they are trained and evaluated
• Potential for ongoing work and contract extension as new projects launch