Applied Physics
Alignerr
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Job summary
Alignerr is seeking PhD-level Applied Physicists to stress-test AI models and ensure they respect fundamental physical principles. The role focuses on designing advanced physics problems, authoring gold-standard solutions, and auditing AI reasoning for consistency with core laws of physics.
This fully remote hourly contract welcomes researchers and academics, with flexible hours (10–40 per week) and no prior AI experience required.
Qualifications
- PhD completed or in final stages in Applied Physics, Physics, Engineering Physics, or a closely related field.
- Exceptional ability to explain complex physical phenomena and mathematical reasoning in clear, structured prose.
- Uncompromising precision with units, scientific notation, dimensional analysis, and proof structure.
- Self-directed and reliable when working independently on technical tasks.
- No prior AI or machine learning experience required.
Responsibilities
- Design Advanced Physics Problems — Craft complex, open-ended problems at PhD qualifying exam level with multi-step reasoning and rigorous derivations across quantum mechanics, electrodynamics, thermodynamics.
- Author Gold-Standard Solutions — Write definitive, step-by-step solutions with precise physical constants and clear logical flow.
- Audit AI Reasoning — Evaluate AI simulations and proofs for physical consistency and identify hallucinated physics.
- Refine Model Behaviour — Provide expert feedback to improve AI reasoning around boundary conditions and conservation laws.
Skills
Education
Tools
Job description
What if your years of physics training could directly shape how AI understands the fundamental laws of the universe? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models — exposing the gaps in their physical reasoning and helping ensure they respect the principles that govern reality: conservation of energy, electrodynamics, quantum behaviour, and more.
What if your years of physics training could directly shape how AI understands the fundamental laws of the universe? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models — exposing the gaps in their physical reasoning and helping ensure they respect the principles that govern reality: conservation of energy, electrodynamics, quantum behaviour, and more.
This is a fully remote, flexible contract role built for researchers and advanced academics. No prior AI experience needed — just a deep command of physics and the analytical rigour to match.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- Design Advanced Physics Problems — Craft complex, open-ended problems at PhD qualifying exam level, requiring multi-step logical reasoning and rigorous mathematical derivation across domains like quantum mechanics, electrodynamics, and thermodynamics
- Author Gold-Standard Solutions — Write definitive, step-by-step solutions with meticulous attention to physical constants, unit conversions, and logical flow — the benchmark an AI must meet
- Audit AI Reasoning — Evaluate AI-generated simulations, derivations, and proofs for physical consistency; identify where models "hallucinate" physics that violates first principles
- Refine Model Behaviour — Provide structured, expert feedback that improves AI reasoning around boundary conditions, conservation laws, and physics-informed constraints
- 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 reasoning in clear, structured prose
- Uncompromising precision with units, scientific notation, dimensional analysis, and proof structure
- Self-directed and reliable when working independently on technical tasks
- No prior AI or machine learning experience required
- Experience with data annotation, scientific dataset evaluation, or quality assurance workflows
- Proficiency with computational tools such as MATLAB, COMSOL, or Python (NumPy/SciPy)
- Background in research, academia, or applied physics industries
- Familiarity with AI language models as an end user
- Work on high-impact AI projects alongside world-leading research labs
- Fully remote and asynchronous — work on your own schedule, from anywhere
- Freelance autonomy with the substance of meaningful, intellectually rigorous work
- Apply your expertise at the frontier of AI development in a way that has real, lasting impact
- Potential for ongoing work and contract extension as new projects launch
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