Applied Physics

Alignerr Corp.; Wollongong City Council; Remote; AUD 165,000 - 248,000; Full time

Job summary

Alignerr Corp. seeks PhD-level Applied Physicists to stress-test AI models by probing their reasoning and ensuring adherence to physical laws. You will design complex, open-ended physics problems and craft gold-standard solutions with precise units and constants.

You will audit AI proofs and simulations for physical consistency, providing expert feedback to improve physics-informed reasoning. Fully remote hourly contract with flexible hours.

Qualifications

• PhD (completed or near completion) in Applied Physics, Physics, Engineering Physics, or closely related field.

Responsibilities

• Design Advanced Physics Problems for PhD-level reasoning and derivations.
• Author Ground-Truth Solutions with accurate constants and conversions.
• Audit AI Reasoning for physical consistency and identify hallucinations.
• Refine Model Behaviour using physics-informed reasoning and conservation laws.
• Work Independently on asynchronous, task-based assignments.

Skills

PhD in Applied Physics

Analytical writing

Independent work

Attention to units

Education

PhD or near completion in Applied Physics/Engineering Physics

Tools

Python

MATLAB

COMSOL

Job description

Applied Physics (AI Training)

About The Role

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.

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.

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

What You'll Do

• Design Advanced Physics Problems — Craft complex, open-ended problems at PhD qualifying exam level, requiring multi-step logical reasoning and precise mathematical derivation across topics like quantum mechanics, thermodynamics, and electrodynamics
• Author Ground-Truth Solutions — Write rigorous, step-by-step "golden responses" where every physical constant, unit conversion, and logical step is exactly right
• Audit AI Reasoning — Evaluate AI-generated proofs and simulations for physical consistency, identifying where models "hallucinate" physics that violates first principles
• 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
• Work Independently — Complete task-based assignments fully asynchronously, on your own schedule

Who You Are

• Holds a PhD (completed or near completion) 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 analytical writing ability — you can explain a complex derivation clearly, precisely, and in structured English
• Uncompromising attention to detail when it comes to units, scientific notation, and proof logic
• Self-motivated and reliable when working independently without close supervision
• No prior AI or machine learning experience required

Nice to Have

• Experience with data annotation, scientific dataset evaluation, or quality assurance for research outputs
• Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
• Background in physics education, academic publishing, or technical writing
• Familiarity with AI tools or large language models as an end user

Why Join Us

• Work on cutting-edge AI projects alongside world-leading research labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, intellectually stimulating work
• Make a direct, lasting impact on how AI reasons about the physical world
• Potential for ongoing work and contract extension as new projects launch