Applied Physics

Alignerr Corp.; Vancouver; Remote; CAD 83,000 - 165,000; Part time

Job summary

Alignerr is seeking PhD-level Applied Physicists to stress-test cutting-edge Large Language Models, exposing gaps in physical reasoning and ensuring models respect fundamental laws. This fully remote hourly contract targets researchers who can commit 10-40 hours per week.

Design advanced physics problems, craft rigorous solutions with precise constants, and audit AI reasoning to help models apply boundary conditions, conservation laws, and symmetry across domains like quantum mechanics,

Qualifications

• PhD-level expertise in relevant physics domains.
• Ability to design complex physics problems and rigorous solutions.
• Clear written English communication.
• Detail-oriented with rigorous validation of results.

Responsibilities

• Design advanced physics problems requiring multi-step reasoning across quantum mechanics, electromagnetism, and thermodynamics.
• Author rigorous solutions with precise constants and unit conversions.
• Audit AI reasoning for physical consistency and identify where models hallucinate physics.
• Provide structured feedback to improve physics-informed AI models and ensure correct boundary conditions and conservation laws.

Skills

Analytical reasoning

Scientific communication

Independent work

Attention to detail

English proficiency

Education

PhD in Applied Physics or closely related field

Tools

Python (NumPy/SciPy)

MATLAB

COMSOL

Job description

About The Role

What if your 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 Large Language Models - exposing the gaps in their physical reasoning and helping build AI that truly respects the fundamental laws of the universe.

Applied Physics — AI Data Trainer

About The Role

What if your 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 Large Language Models - exposing the gaps in their physical reasoning and helping build AI that truly respects the fundamental laws of the universe.

This is a fully remote, flexible contract role designed for researchers and academics who want to apply their deep domain knowledge to one of the most consequential technology challenges of our time. No prior AI experience required.

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

What You'll Do

• Design Advanced Physics Problems - Craft PhD-qualifying-exam-level problems requiring multi-step logical reasoning, mathematical derivation, and deep physical intuition across domains like quantum mechanics, electromagnetism, and thermodynamics
• Author Rigorous Solutions - Produce precise, step-by-step "golden responses" with flawless physical constants, unit conversions, and logical structure that serve as ground-truth benchmarks
• Audit AI Reasoning - Evaluate AI-generated simulations, proofs, and derivations for physical consistency; identify where models "hallucinate" physics that violates first principles
• Refine Model Behaviour - Provide structured, expert feedback that helps AI systems develop physics-informed reasoning - correctly applying boundary conditions, conservation laws, and symmetry constraints

Who You Are

• Hold a PhD (completed or near completion) in Applied Physics, Physics, Engineering Physics, or a closely related field
• Possess mastery across the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
• Can explain complex physical phenomena and rigorous mathematical derivations in clear, well-structured English
• Obsessively precise - you notice a wrong unit, a sign error, or a broken logical step immediately
• Self-directed and comfortable working independently in an asynchronous environment
• No prior AI or machine learning experience required

Nice to Have

• Experience with data annotation, dataset quality review, or scientific evaluation frameworks
• Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
• Background in research-level benchmarking or academic problem-set design

Why Join Us

• Work on frontier AI projects in partnership with the world's leading AI research labs
• Fully remote and flexible - structure your hours around your existing commitments
• Apply your expertise to problems that genuinely matter - shaping how AI reasons about physical reality
• Freelance autonomy: no bureaucracy, no commute, just meaningful, intellectually engaging work
• Potential for ongoing contract extension as new projects launch