Applied Physics

Alignerr Corp.; Melbourne; Remote; AUD 120,000 - 240,000; Part time

Benefits offered by this job

Fully remote

Flexible hours

Freelance autonomy

Job summary

Alignerr is seeking PhD-level Applied Physicists to stress-test AI reasoning against physical laws in a fully remote, hourly contract. You will work 10–40 hours per week on complex physics problems spanning quantum mechanics, electrodynamics, and thermodynamics.

Responsibilities include crafting open-ended problems, authoring rigorous solutions with correct constants and units, auditing AI reasoning for physical consistency, and documenting failure modes for research teams.

Qualifications

• PhD or near completion in Applied Physics or related field.
• Deep mastery of core physics pillars (classical mechanics, electromagnetism, statistical mechanics, quantum mechanics).
• Ability to explain complex phenomena and derivations clearly.
• Attention to detail in notation, units, and logical flow.

Responsibilities

• Design advanced physics problems at PhD-level across QM, EM, CM, and thermodynamics.
• Author rigorous, step-by-step solutions with correct constants and units.
• Audit AI reasoning for physical consistency and boundary conditions.
• Provide expert feedback to refine AI model behaviour and conservation laws.
• Document failure modes of AI reasoning for research teams.

Skills

Quantum Mechanics

Electrodynamics

Classical Mechanics

Statistical Mechanics

Thermodynamics

Education

PhD completed or in final stages in Applied Physics, Physics, Engineering Physics

Tools

MATLAB

COMSOL

Python (NumPy/SciPy)

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 the reasoning of cutting-edge Large Language Models — exposing where they break the laws of physics and helping build AI that actually gets the universe right.

Applied Physics (AI Training)

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 the reasoning of cutting-edge Large Language Models — exposing where they break the laws of physics and helping build AI that actually gets the universe right.

This is a fully remote, flexible contract role built for researchers and domain experts. No prior AI experience needed — just deep command of physics and a rigorous, analytical mind.

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

What You'll Do

• Design Advanced Physics Problems — Craft open-ended, multi-step problems at PhD qualifying exam level, spanning quantum mechanics, electromagnetism, classical mechanics, and thermodynamics
• Author Gold-Standard Solutions — Write rigorous, step-by-step solutions with airtight derivations, correct physical constants, and perfect unit conversions
• Audit AI Reasoning — Evaluate AI-generated proofs and simulations for physical consistency, identifying where models "hallucinate" physics that violates first principles
• Refine Model Behaviour — Provide structured, expert feedback that helps AI systems reason correctly about boundary conditions, conservation laws, and physical constraints
• Document Failure Modes — Systematically record how and where AI reasoning breaks down so research teams can address core weaknesses

Who You Are

• 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 explain complex physical phenomena and mathematical derivations in clear, structured prose
• Uncompromising attention to detail — units, notation, and logical flow matter to you
• Self-directed and consistent when working independently on task-based assignments
• No prior AI or machine learning experience required

Nice to Have

• Experience with data annotation, scientific dataset evaluation, or quality assurance workflows
• Proficiency with MATLAB, COMSOL, Python (NumPy/SciPy), or similar scientific computing tools
• Background in research-level benchmarking or academic problem-setting
• Familiarity with AI tools or language model evaluation as an end user

Why Join Us

• Work on high-impact AI projects alongside world-leading research labs
• Fully remote and flexible — structure your work around your schedule
• Freelance autonomy with the substance of meaningful, intellectually demanding work
• Direct exposure to how frontier AI models are trained and evaluated
• Contribute to ensuring AI respects the fundamental laws of the physical world
• Potential for ongoing work and contract extension as new projects launch