Applied Physics
Alignerr
Job Description
Applied Physics (AI Training)
About The Role
What if your years of physics training could directly shape how AI understands the physical world — from quantum mechanics to thermodynamics? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models, expose their blind spots, and help ensure they reason in ways that actually respect the laws of the universe.
This is a fully remote, flexible contract role. No AI background needed — just deep mastery of physics and a sharp, rigorous mind.
• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week
What You'll Do
• Design advanced, open-ended physics problems — think PhD qualifying exam difficulty — that require multi-step reasoning and mathematical derivation
• Author rigorous "golden response" solutions with precise step-by-step workings, correct physical constants, and flawless unit conversions
• Audit AI-generated solutions and simulations for physical consistency, identifying where models "hallucinate" results that violate first principles
• Provide structured, expert feedback that improves AI reasoning around boundary conditions, conservation laws, and physical constraints
• Work independently and asynchronously — fully on your own schedule
Who You Are
• Holds a PhD (completed or near completion) 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 clear analytical writer — able to explain complex derivations and physical phenomena in structured, precise English
• Uncompromising attention to detail when it comes to units, scientific notation, and logical proof structure
• Self-motivated and consistent when working independently
• No prior AI experience required
Nice to Have
• Experience with data annotation, scientific dataset evaluation, or quality assurance workflows
• Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
• Background in research-level benchmarking or academic problem-setting
Why Join Us
• 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 rigorous work
• Gain hands-on exposure to how frontier AI models are built and trained
• Contribute to ensuring AI systems respect the fundamental laws of the physical world
• Potential for ongoing work and contract extension as new projects launch