Alignerr · 1 day ago
Applied Physics - AI Data Trainer
United States
Contract
Remote
Senior Level
$40/hr - $80/hrAlignerr partners with leading AI research teams to build and train cutting-edge AI models. They are seeking PhD-level Applied Physicists to challenge Large Language Models on their understanding of the physical world and document failure modes in AI reasoning.
Computer Software
Responsibilities
Develop Complex Problems: Design advanced, open-ended physics problems (equivalent to PhD qualifying exams) that require multi-step logical reasoning and mathematical derivation
Author Ground-Truth Solutions: Create "golden responses" that provide rigorous, step-by-step solutions, ensuring that every physical constant and unit conversion is perfect
Technical Auditing: Evaluate AI-generated simulations and proofs for physical consistency. You will identify where a model "hallucinates" physics that violates first principles
Refine Reasoning: Provide structured feedback to improve the model’s ability to perform "Physics-Informed" reasoning, helping it understand constraints like boundary conditions and conservation laws
Qualification
Required
Advanced Degree: PhD (completed or in the final stages) in Applied Physics, Physics, or a closely related field (e.g., Engineering Physics)
Domain Expertise: Mastery of the core pillars of physics: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
Analytical Writing: Exceptional ability to explain complex physical phenomena and mathematical derivations in clear, structured English
Precision: An uncompromising eye for detail regarding units, scientific notation, and the logical flow of a proof
No AI experience required
Preferred
Prior experience with data annotation, data quality, or evaluation systems for scientific datasets
Experience with tools such as MATLAB, COMSOL, or Python (NumPy/SciPy)
Benefits
Competitive pay and flexible remote work.
Freelance perks: autonomy, flexibility, and global collaboration.
Company
Alignerr
We're looking for experts to help train better AI.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase