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Applied Physics — AI Data Trainer
About The Role
What if your deep expertise in physics could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to stress-test cutting-edge Large Language Models — exposing the gaps in their reasoning and helping ensure they never violate the fundamental laws of the universe.
This is a fully remote, flexible contract role. No prior AI experience needed — just mastery of physics 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 Problems: Develop complex, open-ended physics problems at PhD qualifying exam level — requiring:
- Multi-step reasoning
- Mathematical derivation
- Deep conceptual understanding across:
- Quantum mechanics
- Electromagnetism
- Thermodynamics
- Other core fields
-
Author Gold-Standard Solutions: Write rigorous, step-by-step "golden responses" that serve as definitive benchmarks, accounting for:
- Every unit
- Every constant
- Every logical step
-
Audit AI Reasoning: Evaluate AI-generated:
- Simulations
- Proofs
- Explanations For physical consistency, identifying hallucinated physics that violates first principles
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-
Refine Model Behavior: Provide structured, expert feedback to train models to reason correctly about:
- Boundary conditions
- Conservation laws
- Symmetry principles
- Physical constraints
-
Probe Failure Modes: Systematically document:
- How AI reasoning breaks down
- Where it falters when confronted with research-level physics challenges
Responsibilities
- Collaborate to form a growing expert knowledge base of physics concepts that AI models should never misrepresent
- Contribute directly to the improvement of AI reasoning in specialized, demanding physics contexts
- Participate in curriculum development: curating problems that test and stretch knowledge boundaries
Requirements
Qualifications:
- PhD completed or in final stages in:
- Applied Physics
- Physics
- Engineering Physics
- Or a closely related field
Core Expertise:
- Deep mastery across the foundational pillars:
- Classical Mechanics
- Electrodynamics
- Statistical Mechanics
- Quantum Mechanics
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Skills:
- Exceptional analytical writing: ability to explain complex derivations with precision and clarity
- Uncompromising attention to detail—units, scientific notation, dimensional analysis, and proof structure are second-nature
- Self-directed problem-solving and independence in technical work
Nice to Have
Familiarity with:
- Data annotation or quality assurance workflows
- Computational tools including:
- Python (NumPy/SciPy)
- MATLAB
- COMSOL
- Research involving:
- Simulation
- Modeling
- Experimental physics
- Basic exposure to AI tools or language model evaluation as an end user
Benefits
- Work on high-impact AI projects alongside world-leading research labs
- Fully remote and flexible—work when and where you prefer
- Enjoy freelance autonomy within a structured framework of intellectually stimulating tasks
- Directly influence how AI understands and reasons about the physical world
- Potential for ongoing work and contract extensions with new project launches
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