Applied Physics

Alignerr Corp.; United States; Remote; AUD 83,000 - 165,000; Part time

Job summary

Alignerr is seeking PhD-level Applied Physicists to stress-test AI models and ensure consistency with fundamental physical laws. The role focuses on crafting high-quality physics problems, authoring gold-standard solutions, and auditing AI reasoning for first-principles validity in a fully remote, flexible contract.

You will design multidisciplinary physics challenges, provide rigorous solutions, and deliver actionable feedback to improve model behavior while maintaining scientific rigor and

Qualifications

• Holds a PhD (completed or in final stages) in Applied Physics, Physics, Engineering Physics, or a closely related field
• Deep command of Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
• Exceptional analytical writing skills with clear, precise explanations

Responsibilities

• Design PhD-qualifying-level problems demanding multi-step derivations and deep physical reasoning across quantum mechanics, electromagnetism, and thermodynamics
• Author rigorous, step-by-step 'golden responses' with precise units, constants, and logical steps
• Audit AI reasoning by evaluating proofs and simulations for physical consistency and conservation laws
• Refine model behavior by providing structured feedback incorporating boundary conditions and symmetry arguments
• Document failure modes to inform model improvement at the frontier of AI research

Skills

PhD in Applied Physics

Strong analytical writing

Independent working

Fast learner

Education

PhD in Applied Physics

Tools

Python (NumPy/SciPy)

MATLAB

COMSOL

Job description

About The Role

What if your deep expertise in physics could directly shape how AI understands the physical world — from quantum mechanics to thermodynamics to electrodynamics? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models, expose their reasoning failures, and help ensure they never violate the fundamental laws of the universe.

Applied Physics (AI Training)

About The Role

What if your deep expertise in physics could directly shape how AI understands the physical world — from quantum mechanics to thermodynamics to electrodynamics? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models, expose their reasoning failures, and help ensure they never violate the fundamental laws of the universe.

This is a fully remote, flexible contract role. No AI background needed — just mastery of physics and an uncompromising eye for scientific rigour.

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

What You’ll Do

• Design Advanced Physics Problems — Craft PhD-qualifying-level problems that demand multi-step mathematical derivation and deep physical reasoning across topics like quantum mechanics, electromagnetism, and thermodynamics
• Author Gold-Standard Solutions — Write rigorous, step-by-step 'golden responses' where every unit, constant, and logical step is precisely correct
• Audit AI Reasoning — Evaluate AI-generated proofs and simulations for physical consistency, identifying where models 'hallucinate' physics that violates first principles like conservation of energy or momentum
• Refine Model Behaviour — Provide structured, expert feedback that teaches AI to reason with proper physical constraints — boundary conditions, symmetry arguments, and conservation laws included
• Document Failure Modes — Systematically record how and where AI reasoning breaks down, contributing directly to model improvement efforts at the frontier of AI research

Who You Are

• Holds a PhD (completed or in final stages) in Applied Physics, Physics, Engineering Physics, or a closely related field
• Deep command of the four pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
• Exceptional analytical writing skills — you can explain a complex derivation as clearly as you can solve it
• Obsessively precise about units, scientific notation, and the logical integrity of a physical argument
• Self-motivated and comfortable working independently on complex, open-ended tasks
• No prior AI or data annotation experience required

Nice to Have

• Experience with data annotation, scientific dataset evaluation, or quality assurance for technical content
• Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
• Background in research involving simulation, modelling, or experimental physics
• Familiarity with AI tools or large language models as an end user

Why Join Us

• Work on some of the most technically demanding AI projects in the world, alongside leading research labs
• Fully remote and flexible — structure your hours around your life, not the other way around
• Freelance autonomy with the intellectual depth of meaningful, expert-level work
• Direct, tangible impact on how AI reasons about the physical world at a foundational level
• Potential for ongoing work and contract extension as new projects launch