About this opportunity
Alignerr lists this Applied Physics opportunity in new york, New York. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Applied Physics (AI Training)
About the Role
What if your deep understanding of the physical world could directly shape how AI reasons about reality? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models - exposing the gaps in their understanding of quantum mechanics, electromagnetism, thermodynamics, and more.
This is a fully remote, flexible contract role. No prior AI experience needed - just mastery of physics and the ability to think rigorously about how the universe works.
Organization
: Alignerr
Type
: Hourly Contract
Location
: Remote
Commitment
: 10-40 hours/week
What You'll Do Design Advanced Problems
- Craft PhD-level, open-ended physics problems that demand multi-step logical reasoning and rigorous mathematical derivation across domains like quantum mechanics, electrodynamics, and statistical mechanics
Author Ground-Truth Solutions
- Develop precise, step-by-step "golden responses" where every constant, unit conversion, and logical step is airtight
Audit AI Reasoning
- Evaluate AI-generated proofs and simulations for physical consistency, identifying where models "hallucinate" physics that violates first principles
Refine AI Thinking
- Provide structured, expert feedback to improve how AI models handle boundary conditions, conservation laws, and physics-informed constraints
Document Failure Modes
- Systematically record how and where AI reasoning breaks down so models can be corrected and improved at a foundational level
Who You Are 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 analytical writing skills - you can explain complex derivations clearly and precisely in structured English
Uncompromising attention to detail when it comes to units, notation, and the logical flow of a proof
Self-motivated and able to work independently without hand-holding
No prior AI or machine learning experience required
Nice to Have Experience with data annotation, dataset quality review, or scientific evaluation systems
Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
Background in research publishing or technical writing
Familiarity with AI tools or large language models as an end user
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, task-based work
Gain rare, first-hand exposure to how cutting-edge AI models are built and trained
Contribute to work that ensures AI understands and respects the fundamental laws of the universe
Potential for ongoing work and contract extension as new projects launch
Worksite address
new york, NY, 10261, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.