Live opening · Posted 1 day ago

Applied Physics

Alignerr · Adelaide, South Australia, Australia (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyAlignerr
LocationAdelaide, South Australia, Australia (Remote)
Salary$40/hr - $80/hr
Work modeYes
SourceLinkedin
Listed1 day ago

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About the role

Description supplied by the original job listing.

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

Work arrangement
Yes

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