Applied Physics - AI Data Trainer

• Location: Remote
  

About The Job

Organization

Position

Type

Compensation

Location

Commitment

What You’ll Do

• 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.
  

Requirements

• 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)
  

Why Join Us

• Competitive pay and flexible remote work.
• Collaborate with a team working on cutting-edge AI projects.
• Exposure to advanced LLMs and how they’re trained.
• Freelance perks: autonomy, flexibility, and global collaboration.
• Potential for contract extension.
  

Application Process (Takes 15-20 min)

• Submit your resume
• Complete a short screening
• Project matching and onboarding