Applied Physics Specialist

Alignerr; France; À distance; EUR 83 000 - 165 000; Temps partiel

Résumé du poste

Alignerr is seeking a PhD-level Applied Physicist to design and validate AI training problems. This fully remote hourly contract invites experts to craft open-ended physics challenges and rigorous solutions for next-generation language models.

You will audit AI reasoning for adherence to physical laws, covering classical mechanics to quantum mechanics, and provide precise, units-aware feedback. Flexible schedule and independent work are required.

Qualifications

• PhD-level expertise in physics with strong analytical writing ability.
• Deep mastery across classical mechanics, electrodynamics, statistical mechanics, and quantum mechanics.
• Exceptional precision with units, notation, and logical proofs.
• Ability to work independently on task-based projects.

Responsabilités

• Design advanced physics problems at PhD qualifying exam level.
• Author gold-standard solutions with rigorous constants and proofs.
• Audit AI reasoning for physical consistency and adherence to first principles.
• Refine model behavior around boundary conditions and conservation laws.
• Push AI model evaluation across quantum mechanics, electrodynamics, and thermodynamics.

Connaissances

Analytical writing

Independent work

Precise with units

Formation

PhD in Applied Physics or related field

Outils

Python (NumPy/SciPy)

MATLAB

COMSOL

Description du poste

Applied Physics Specialist (AI Training)

What if your deep expertise in physics could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to put cutting-edge AI models through their paces — designing rigorous problems, exposing flawed reasoning, and helping ensure that large language models genuinely respect the fundamental laws of nature.

This is a fully remote, flexible contract role built for serious physicists who want to apply their expertise beyond the lab or classroom. No prior AI experience required — your domain mastery is what matters.

About The Role

• 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 that require multi-step logical reasoning, mathematical derivation, and deep physical intuition
• Author Gold-Standard Solutions — Write rigorous, step-by-step "golden responses" with airtight physical constants, unit conversions, and logically sound proofs
• Audit AI Reasoning — Evaluate AI-generated solutions and simulations for physical consistency, identifying where models hallucinate physics that violates first principles
• Refine Model Behavior — Provide structured, expert feedback to improve AI reasoning around boundary conditions, conservation laws, and physics-informed constraints
• Push the Limits of LLMs — Work across domains including quantum mechanics, electrodynamics, thermodynamics, and classical mechanics to expose failure modes in AI understanding

Who You Are

• Hold a PhD (completed or near-final stage) in Applied Physics, Physics, Engineering Physics, or a closely related field
• Deep mastery across the core pillars of physics: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
• Exceptionally strong analytical writing skills — you can explain complex derivations and physical phenomena in clear, structured prose
• Uncompromising precision with units, scientific notation, and the logical flow of a rigorous proof
• Self-motivated and consistent when working independently on task-based projects
• No prior AI or machine learning experience required

Nice to Have

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

Why Join Us

• Work on genuinely cutting-edge AI projects alongside world-leading research labs
• Fully remote and asynchronous — work on your own schedule, from anywhere
• Freelance autonomy with the substance of high-impact, intellectually demanding work
• Rare opportunity to see inside how frontier AI models are trained and evaluated
• Potential for ongoing work and contract extension as new projects launch