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Applied Physics

Alignerr
Department:Data Analysis
Type:REMOTE
Region:Australia
Location:Adelaide, South Australia, Australia
Experience:Mid-Senior level
Estimated Salary:$50,000 - $80,000
Skills:
CLASSICAL MECHANICSELECTRODYNAMICSSTATISTICAL MECHANICSQUANTUM MECHANICSMATLABCOMSOLPYTHONNUMPYSCIPY
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Job Description

Posted on: June 16, 2026

Applied Physics (AI Training)About The Role What if your years of physics expertise could directly shape how AI understands the fundamental laws of the universe? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models — exposing gaps in their physical reasoning and helping ensure they don't hallucinate thermodynamics or violate conservation of energy. This is a fully remote, flexible contract role. No AI background required — just deep mastery of physics and a rigorous, analytical mind.

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

What You'll Do

  • Design advanced, open-ended physics problems at PhD qualifying exam level — requiring multi-step reasoning, mathematical derivation, and first-principles thinking
  • Author rigorous "golden response" solutions with flawless step-by-step derivations, correct units, and precise physical constants
  • Audit AI-generated solutions, simulations, and proofs for physical consistency — identifying where models hallucinate physics that violates fundamental laws
  • Provide structured, expert feedback to strengthen AI reasoning around boundary conditions, conservation laws, and domain-specific constraints
  • Work independently and asynchronously — fully on your own schedule

Who You Are

  • PhD completed or in final stages in Applied Physics, Physics, Engineering Physics, or a closely related field
  • Deep command of core physics: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
  • Exceptional ability to explain complex physical phenomena and mathematical derivations in clear, structured written English
  • Uncompromising attention to detail — units, notation, and logical flow of a proof all matter to you
  • Self-motivated and consistent when working independently
  • No prior AI or data experience required

Nice to Have

  • Experience with data annotation, scientific dataset evaluation, or quality assurance workflows
  • Proficiency with computational tools such as MATLAB, COMSOL, Python (NumPy/SciPy), or similar
  • Background in research-level problem design or academic assessment
  • Familiarity with AI language models or prompt evaluation as an end user

Why Join Us

  • Work directly with leading AI research labs on some of the most technically challenging problems in AI development
  • Fully remote and flexible — work when and where it suits you
  • Freelance autonomy with the structure of meaningful, task-based work
  • Make a tangible impact on how AI reasons about the physical world
  • Potential for ongoing work and contract extension as new projects launch
Originally posted on LinkedIn

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