Applied Physics Specialist

Alignerr Corp.; United States; On-site; AUD 96,000 - 165,000; Part time

Job summary

Alignerr is seeking an Applied Physics Specialist (AI Training) with a PhD-level background to stress-test AI models against university- and research-level physics, ensuring compliance with fundamental laws.

This fully remote hourly contract invites independent researchers to design advanced problems, author golden solutions, audit AI reasoning, and provide expert feedback on boundary conditions and conservation laws, with flexible hours (10–40 weekly).

Qualifications

• Hold a PhD in Applied Physics, Physics, Engineering Physics, or closely related field.
• Master core physics pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, Quantum Mechanics.
• Ability to explain complex phenomena and derivations clearly in English.
• Attention to units, notation, dimensional analysis and logical proof flow.

Responsibilities

• Design Advanced Problems — craft challenging, open-ended physics problems at PhD level across QM, electromagnetism, thermodynamics.
• Author Ground-Truth Solutions — develop precise, step-by-step golden responses with correct constants and conversions.
• Audit AI Reasoning — evaluate AI simulations and derivations for physical consistency and first-principles validity.
• Refine Model Behaviour — provide expert feedback on boundary conditions and conservation laws to improve AI reasoning.

Skills

PhD in Applied Physics

Classical Mechanics

Electrodynamics

Statistical Mechanics

Quantum Mechanics

Structured English writing

Independent work

Asynchronous work

Data annotation (nice to have)

Education

PhD in related field (Applied Physics / Physics / Engineering Physics)

Tools

Python (NumPy/SciPy)

MATLAB

COMSOL

Job description

Applied Physics Specialist (AI Training)

About The Role

What if your deep expertise in physics could directly shape how AI understands the physical world — ensuring it respects the fundamental laws that govern reality? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models on university and research-level physics, exposing the gaps in their reasoning so they can be fixed.

This is a fully remote, flexible contract role built for researchers and specialists who want to stay sharp, work independently, and make a real impact on the future of AI — without leaving their area of expertise.

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

What You'll Do

• Design Advanced Problems — Craft challenging, open-ended physics problems at PhD qualifying exam level, requiring multi-step logical reasoning and rigorous mathematical derivation across domains like quantum mechanics, electromagnetism, and thermodynamics
• Author Ground-Truth Solutions — Develop precise, step-by-step "golden responses" where every physical constant, unit conversion, and logical step is exactly right
• Audit AI Reasoning — Evaluate AI-generated simulations, proofs, and derivations 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 the deep structure of physical reality

Who You Are

• Hold a PhD (completed or near‑completion) in Applied Physics, Physics, Engineering Physics, or a closely related field
• Have mastery across the core pillars of physics: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
• Write with exceptional clarity — able to explain complex physical phenomena and mathematical derivations in structured, precise English
• Possess an uncompromising eye for detail: units, scientific notation, dimensional analysis, and the logical flow of a proof
• Self‑motivated and comfortable working independently on an asynchronous schedule
• No prior AI or data annotation experience required

Nice to Have

• Experience with data annotation, data quality review, or scientific dataset evaluation
• Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
• Background in research, academic publishing, or physics education

Why Join Us

• Work at the frontier of AI development alongside world‑leading research labs
• Fully remote and flexible — work when and where suits you, on your own schedule
• Freelance autonomy with the substance of genuinely meaningful, high‑level work
• Keep your physics knowledge sharp while contributing to something that matters beyond the lab
• Potential for ongoing work and contract extension as new projects launch