Physics Researcher AI Model Training

Role Overview

Apply advanced physics knowledge to help improve large language models through rigorous problem design, evaluation, and clear technical reasoning. This remote opportunity focuses on physics topics spanning early undergraduate coursework through PhD-level material, with particular relevance to engineering entrance examination standards and graduate programs.

Key Responsibilities Design and solve challenging physics problems that test the limits of large language models.

Produce accurate, high-quality step-by-step solutions with clearly explained reasoning.

Work with language-model researchers to align problem sets with evaluation goals, including abstraction, multi-step reasoning, and symbolic manipulation.

Help develop physics evaluation benchmarks across undergraduate through PhD-level curricula.

Use strong analytical ability and English comprehension to support model fine-tuning projects.

Translate complex physics concepts into simple, clear explanations, using visuals and physics-based reasoning where appropriate.

Provide constructive feedback and detailed annotations.

Qualifications Strong research, analytical, creative, and lateral-thinking skills.

Ability to analyze and solve complex physics problems using a structured, logical approach.

Excellent written communication and collaboration skills for a remote environment.

Self-motivated, able to work independently, and able to work efficiently.

A desktop or laptop computer and reliable internet connection.

Eligibility Candidates currently pursuing a master’s degree, PhD, or postdoctoral work in Physics, Applied Physics, or a related field are eligible and encouraged to apply.

Work Terms Fully remote contract engagement.

Independent contractor or freelancer assignment.

This engagement does not include medical benefits or paid leave.

Opportunity to contribute to advanced AI projects involving leading language-model organizations.