Alignerr
Applied Physics
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Applied Physics
Applied Physics (AI Training)
About The Role
What if your expertise in quantum mechanics, electrodynamics, and thermodynamics could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models—exposing the gaps in their physical reasoning and ensuring they never violate the fundamental laws of the universe.
This is a fully remote, flexible contract role built for researchers and academics who want to do meaningful, intellectually stimulating work on their own schedule. No prior AI experience required—just deep domain mastery and a rigorous, analytical mind.
Organization: Alignerr
Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week
What You'll Do
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Design Advanced Physics Problems Craft PhD qualifying exam-level problems spanning:
- Quantum mechanics
- Electrodynamics
- Classical mechanics
- Thermodynamics Problems should demand multi-step logical reasoning and mathematical derivation.
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Author Gold-Standard Solutions Develop rigorous, step-by-step "golden responses" where:
- Every physical constant, unit conversion, and logical step is unimpeachable
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Audit AI Reasoning Evaluate AI-generated proofs and simulations for physical consistency, identifying where models:
- "Hallucinate" physics that violates first principles
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Provide Structured Feedback Coach AI systems to reason correctly about:
- Boundary conditions
- Conservation laws
- Real-world physical constraints
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Document Failure Modes Systematically record:
- How and where AI reasoning breaks down So that research teams can build better, more physically grounded models.
Who You Are
Requirements
- Holds a PhD (completed or near-completion) in:
- Applied Physics
- Physics
- Engineering Physics
- A closely related field
- Deep mastery across:
- Classical Mechanics
- Electrodynamics
- Statistical Mechanics
- Quantum Mechanics
- Exceptional analytical writing skills capable of:
- Explaining a complex derivation in clear, structured prose without losing rigor
- Uncompromising precision with:
- Units
- Scientific notation
- Dimensional analysis
- Logical flow of a proof
- Self-motivated and reliable when working independently and asynchronously
- No prior AI or data annotation experience required
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Nice to Have
- Experience with:
- Data annotation
- Scientific dataset evaluation
- Quality assurance for research outputs
- Proficiency with computational tools such as: MATLAB, COMSOL, Python (NumPy/SciPy), or similar
- Background in:
- Experimental or computational physics research
- Familiarity with:
- AI or machine learning concepts as end user or researcher
Why Join Us
- Work on high-impact AI projects in collaboration with:
- The world’s leading AI research labs
- Fully remote and flexible—work when and where it suits you, on your own schedule
- Freelance autonomy with the intellectual depth of meaningful, research-level work
- Gain direct exposure to how frontier large language models are trained and evaluated
- Contribute to AI development that could shape how technology understands the physical world for decades to come
- Potential for ongoing work and contract extension as new projects launch
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