Overview
Applied Physics Jobs in Auckland, Auckland, New Zealand at Alignerr
Title: Applied Physics
Company: Alignerr
Location: Auckland, Auckland, New Zealand
Applied Physics — AI Data Trainer
About The Role
What if your deep expertise in quantum mechanics, electrodynamics, and thermodynamics could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models — exposing the gaps in their physical reasoning and helping ensure they respect the fundamental laws of the universe.
This is a fully remote, flexible contract role built for researchers and academics who want high-impact work on their own schedule. No prior AI experience required — your physics expertise is what matters.
- 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 reasoning and rigorous mathematical derivation across topics like quantum mechanics, electromagnetism, classical mechanics, and thermodynamics
- Author Gold-Standard Solutions — Write meticulous, step-by-step solutions that serve as ground-truth benchmarks, with flawless handling of physical constants, units, and logical proof structure
- Audit AI Reasoning — Evaluate AI-generated simulations, derivations, and proofs for physical consistency; identify precisely where models "hallucinate" physics that violates first principles
- Refine Model Behavior — Provide structured, expert feedback to improve AI reasoning around constraints such as conservation laws, boundary conditions, and symmetry principles
Who You Are
- Hold a PhD (completed or in final stages) in Applied Physics, Physics, Engineering Physics, or a closely related field
- Deep mastery across the core pillars: 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 proof logic are second nature to you
- Self-motivated and reliable when working independently
- 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 MATLAB, COMSOL, Python (NumPy/SciPy), or similar
- Background in research publishing, technical writing, or academic instruction
Why Join Us
- Work on frontier AI projects alongside world-leading research labs
- Fully remote and async — work when and where it suits you
- Freelance autonomy with the structure of meaningful, well-defined tasks
- Apply your research expertise to one of the most consequential technology challenges of our time
- Potential for ongoing work and contract extension as new projects launch
