Applied Physics
Alignerr
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
- 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
- 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
- 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
- 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
Vacancy posted 3 days ago
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