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Physicist AI Training and Evaluation

Job in Buffalo, Erie County, New York, 14201, USA
Listing for: SaidGig
Apprenticeship/Internship position
Listed on 2026-10-20
Job specializations:
  • Research/Development
    AI Evaluation, AI Business & Operations, Data Annotation/ AI Labeling, Physics
Salary/Wage Range or Industry Benchmark: 70 - 100 USD Hourly USD 70.00 100.00 HOUR
Job Description & How to Apply Below
Position: Physicist for AI Training and Evaluation
Role Overview

Apply your physics judgment to help evaluate and improve frontier AI systems. Your expertise will inform the standards used to assess physics reasoning, derivations, numerical work, and model outputs.

Key Responsibilities
  • Create physics problems from your area of expertise, including the system, assumptions, applicable regime, and a reference answer for evaluation.
  • Review AI-generated derivations and numerical work for valid approximations, sound limiting cases, correct units, and appropriate scaling.
  • Identify cases where an AI system reaches a correct expression using reasoning that would fail if the underlying assumptions changed.
  • Provide the expert standards and reasoning used to assess advanced AI physics outputs.
Qualifications
  • Graduate degree in physics or a related field, with research experience.
  • Recent hands-on experience performing derivations and analysis independently, with the ability to explain the judgments made.
  • Clear written communication skills.
  • Comfort working with ambiguous tasks and raising unclear instructions when needed.
Work Terms

Remote, hourly independent contractor work. Project-specific invitations identify the rate, expected hours, and client. This listing itself does not result in an acceptance or rejection decision. Matching may occur within a week or take several months, depending on available projects.

Compensation

Past project rates have ranged from $70 to $100 per hour, based on project scope and depth.

Eligibility

Completing the domain-expert interview and joining each network for which you qualify can improve the likelihood of being matched. A single registration makes you eligible for opportunities across applicable networks.

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