Applied Physics
Alignerr Corp.
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Benefits offered by this job
Job summary
Alignerr is seeking PhD-level Applied Physicists to stress-test state-of-the-art AI models, examining quantum mechanics, electromagnetism, thermodynamics, and related disciplines.
You will craft challenging problems and provide gold standard solutions to validate AI reasoning against physical laws.
Qualifications
- PhD or near completion in physics or closely related field.
- Ability to communicate complex physics clearly in English.
- Attention to detail in mathematical derivations and unit consistency.
Responsibilities
- Design advanced physics problems at PhD exam level.
- Create rigorous step-by-step golden solutions with correct constants and units.
- Audit AI reasoning for physical consistency and boundary conditions.
- Provide expert feedback to improve physics-informed AI thinking.
Skills
Education
Tools
Job description
What if your deep expertise in physics could directly shape how AI reasons about the physical world? We're looking for PhD-level Applied Physicists to stress-test cutting-edge Large Language Models — probing their understanding of quantum mechanics, electromagnetism, thermodynamics, and more — and help ensure that AI reasoning never violates the fundamental laws of the universe.
What if your deep expertise in physics could directly shape how AI reasons about the physical world? We're looking for PhD-level Applied Physicists to stress-test cutting-edge Large Language Models — probing their understanding of quantum mechanics, electromagnetism, thermodynamics, and more — and help ensure that AI reasoning never violates the fundamental laws of the universe.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- Design Advanced Physics Problems — Craft complex, open-ended problems equivalent to PhD qualifying exam level, requiring multi-step reasoning and mathematical derivation across core physics domains
- Author Ground-Truth Solutions — Develop rigorous, step-by-step "golden responses" with flawless physical constants, unit conversions, and logical flow
- Audit AI Reasoning — Evaluate AI-generated simulations, proofs, and derivations for physical consistency, identifying where models "hallucinate" physics that violates first principles
- Refine Model Thinking — Provide structured, expert feedback to improve AI performance on physics-informed reasoning, including boundary conditions, conservation laws, and symmetry constraints
- Work Independently — Complete task-based assignments asynchronously, fully on your own schedule
- PhD completed or in final stages in Applied Physics, Physics, Engineering Physics, or a closely related field
- Deep mastery of core physics pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
- Exceptional ability to communicate complex physical phenomena and mathematical derivations in clear, structured English
- Uncompromising attention to detail — you catch unit errors, sign mistakes, and flawed assumptions instinctively
- Self-motivated and reliable when working independently
- No prior AI or machine learning experience required
- Experience with data annotation, dataset quality evaluation, or scientific benchmarking
- Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
- Background in research publication, technical writing, or academic instruction
- Familiarity with AI tools or language model evaluation as an end user
- Work on high-impact AI projects alongside world-leading research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, intellectually stimulating work
- Apply your PhD-level expertise in a novel, high-demand field at the frontier of AI development
- Potential for ongoing work and contract extension as new projects launch
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