Applied Physics

Alignerr Corp.; Auckland; Remote; NZD 83,000 - 138,000; Part time

Job summary

Alignerr is seeking a PhD-level Applied Physicist to stress-test AI models from remote locations. You will craft open-ended quantum mechanics, electromagnetism, and thermodynamics problems at a PhD level and provide ground-truth solutions with precise units and constants.

The role focuses on auditing AI simulations for physical consistency and offering expert feedback to improve AI reasoning around fundamental physics principles. Remote, hourly contract work with flexible hours.

Qualifications

• PhD in Applied Physics or closely related field.
• Strong ability to communicate complex physical concepts clearly in English.
• Self-motivated and reliable for independent work.

Responsibilities

• Design advanced physics problems at PhD level requiring multi-step reasoning and rigorous derivations.
• Author meticulous, step-by-step solutions with correct constants and units.
• Audit AI reasoning for physical consistency and identify violations of first principles.
• Refine model behavior to respect conservation laws and symmetry principles.

Skills

PhD in Physics

Strong English communication

Independent work

Education

PhD in Applied Physics

Tools

MATLAB

COMSOL

Python (NumPy/SciPy)

Job description

Applied Physics — AI Data Trainer

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.

Job Details

• 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