Applied Physics

Alignerr; City of Edinburgh; À distance; GBP 55 000 - 138 000; Temps partiel

Avantages offerts par ce poste

Remote work

Flexible schedule

Freelance autonomy

Résumé du poste

Alignerr is seeking PhD-level applied physicists to stress-test AI models by crafting challenging physics problems and validating AI reasoning against physical laws. This fully remote, hourly-contract role offers flexible hours (10–40h/week) and freelance autonomy.

You will design open-ended questions, provide rigorous golden solutions, and evaluate AI outputs for consistency across classical mechanics, electromagnetism, and quantum mechanics.

Qualifications

• PhD or near-complete PhD in Applied Physics or closely related field.

Responsabilités

• Design advanced physics problems at PhD-level for multi-step reasoning.
• Author rigorous, step-by-step solutions with correct constants and units.
• Audit AI reasoning for physical consistency and identify violations of first principles.
• Refine model behaviour to respect conservation laws, boundary conditions, and dimensional analysis.
• Cover topics across classical mechanics, electrodynamics, statistical mechanics, and quantum mechanics.

Connaissances

Rigorous reasoning

Clear English

Independent work

Python

MATLAB

Formation

PhD in Applied Physics

Outils

Python

MATLAB

COMSOL

Description du poste

About The Role

What if your mastery of 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 AI models — exposing where they break the laws of physics and helping ensure they reason with the rigour of a trained scientist.

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

What You'll Do

• Design Advanced Physics Problems — Craft challenging, open-ended problems at PhD qualifying exam level that demand multi-step logical reasoning, mathematical derivation, and mastery of core physical principles
• Author Rigorous Solutions — Produce definitive, step-by-step "golden responses" with perfect physical constants, unit conversions, and airtight logical flow
• Audit AI Reasoning — Evaluate AI-generated simulations, proofs, and explanations for physical consistency; identify where models "hallucinate" physics that violates first principles
• Refine Model Behaviour — Provide structured, expert feedback that teaches AI to respect constraints like conservation laws, boundary conditions, and dimensional analysis
• Cover Foundational Topics — Work across classical mechanics, electrodynamics, statistical mechanics, quantum mechanics, and related research-level domains

Who You Are

• Holds a PhD (completed or near completion) in Applied Physics, Physics, Engineering Physics, or a closely related field
• Deep mastery of the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
• Exceptional ability to articulate complex physical phenomena and mathematical derivations in clear, structured English
• Uncompromising precision with units, scientific notation, dimensional analysis, and logical proof structure
• Self-motivated and reliable when working independently on task-based assignments
• No prior AI or data annotation experience required

Nice to Have

• Experience with data annotation, scientific dataset evaluation, or quality assurance for research outputs
• Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
• Background in research-level problem design, academic instruction, or scientific writing
• Familiarity with AI language models or large-scale model evaluation as an end user

Why Join Us

• Work on high-impact AI projects in collaboration with world-leading research labs
• Fully remote and flexible — work when and where it suits you, on your own schedule
• Freelance autonomy with the intellectual depth of meaningful, research-level work
• Contribute directly to ensuring AI systems reason about the physical world with scientific integrity
• Potential for ongoing work and contract extension as new projects launch