Job Description

Applied Physics (AI Training) About The Role n

What if your deep expertise in physics 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 — probing their reasoning, exposing their blind spots, and helping ensure they respect principles like conservation of energy, quantum mechanics, and electrodynamics.

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This is a fully remote, flexible contract role built for researchers and domain experts who want to do meaningful, high-impact work on their own schedule. No prior AI experience required — just mastery of physics and a rigorous analytical mind.

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- Organization: Alignerr
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- Type: Hourly Contract
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- Location: Remote
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- Commitment: 10–40 hours/week
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What You'll Do nn
- Design Advanced Physics Problems — Craft complex, open-ended problems at PhD qualifying exam level, requiring multi-step logical reasoning and exact mathematical derivation across topics like quantum mechanics, thermodynamics, and electrodynamics
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- Author Ground-Truth Solutions — Write rigorous, step-by-step "golden responses" where every physical constant, unit conversion, and logical step is exactly right
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- Audit AI Reasoning — Evaluate AI-generated proofs and simulations for physical consistency, identifying where models "hallucinate" physics that violates first principles
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- Refine Model Behaviour — Provide structured, expert feedback that improves an AI's ability to apply physics-informed reasoning — including boundary conditions, symmetry arguments,



and conservation laws
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- Work Independently — Complete task-based assignments fully asynchronously, on your own schedule
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Who You Are nn
- Holds a PhD (completed or near completion) in Applied Physics, Physics, Engineering Physics, or a closely related field
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- Deep command of the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
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- Exceptional analytical writing ability — you can explain a complex derivation clearly, precisely, and in structured English
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- Uncompromising attention to detail when it comes to units, scientific notation, and proof logic
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- Self-motivated and reliable when working independently without close supervision
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- No prior AI or machine learning experience required
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Nice to Have nn
- Experience with data annotation, scientific dataset evaluation, or quality assurance for research outputs
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- Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
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- Background in physics education, academic publishing, or technical writing
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- Familiarity with AI tools or large language models as an end user
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Why Join Us nn
- Work on cutting-edge AI projects alongside world-leading research labs
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- Fully remote and flexible — work when and where it suits you
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- Freelance autonomy with the structure of meaningful, intellectually stimulating work
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- Make a direct, lasting impact on how AI reasons about the physical world
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- Potential for ongoing work and contract extension as new projects launch
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📌 Applied Physics (City of Gold Coast)
🏢 Alignerr
📍 City of Gold Coast