Applied Physics

Alignerr; Auckland; Remote; NZD 83,000 - 165,000; Part time

Benefits offered by this job

Fully remote

Freelance autonomy

Contract-based hours

Job summary

Alignerr is seeking PhD-level Applied Physicists to stress-test cutting-edge AI models, exposing gaps in physical reasoning and ensuring adherence to fundamental laws. You will design advanced physics problems, write gold-standard solutions, and audit AI reasoning for consistency across quantum mechanics, electromagnetism, and thermodynamics.

The role is fully remote, hourly contract, with 10–40 hours per week, and offers freelance autonomy while delivering meaningful, well-defined tasks on

Qualifications

• Hold a PhD (completed or in final stages) in Applied Physics, Physics, Engineering Physics, or a closely related field.
• Deep mastery across 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.
• Self-motivated and reliable when working independently.

Responsibilities

• Design Advanced Physics Problems — Craft complex, open-ended problems at PhD qualifying exam level, requiring multi-step reasoning and rigorous mathematical derivation.
• Author Gold-Standard Solutions — Write meticulous, step-by-step solutions that serve as ground-truth benchmarks with proper handling of constants and units.
• Audit AI Reasoning — Evaluate AI-generated simulations and proofs for physical consistency and identify non-physical hallucinations.
• Refine Model Behavior — Provide structured feedback to improve AI reasoning around conservation laws, boundary conditions, and symmetry.

Skills

Quantum mechanics

Electrodynamics

Classical mechanics

Statistical mechanics

Thermodynamics

Mathematical derivation

Education

PhD in Applied Physics

Engineering Physics

Tools

MATLAB

Python (NumPy/SciPy)

COMSOL

Numerical methods

Job description

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.

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.

• 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