Computational Physics AI Training Expert

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this opportunity. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping contributors discover projects, build a professional profile, and grow their experience in this rapidly expanding field.

Creating an OpenTrain account is free. Through this role, you will contribute specialized expertise to work that helps improve how advanced AI systems understand technical problems, use development tools, and reason through complex workflows.

About AI Training Work

AI training is the human side of building artificial intelligence. Experts prepare examples, evaluate model behavior, and provide detailed feedback so AI systems can produce more accurate and useful results.

This opportunity focuses on technical AI training rather than simple chat-based assistance. You will demonstrate realistic computational physics problem-solving and assess sequences in which AI coding agents navigate codebases, debug issues, and support feature development.

• Work remotely from anywhere in the world
• Contribute to cutting-edge AI development through specialized technical judgment
• Build experience in a flexible, part-time contractor setting

The Role

OpenTrain AI is seeking a Computational Physics AI Training Expert to contribute advanced domain knowledge to AI training work. You will use AI coding agents in realistic computational physics workflows, showing how technical professionals solve complex problems, navigate large codebases, debug difficult issues, and evaluate potential architectural changes.

The role requires careful technical reasoning, clear documentation, and the ability to generate and assess agent-driven sequences. It is a contractor, part-time opportunity requiring 20 or more hours per week, with compensation of $80–$100 per hour.

• Role type: Contractor and part time
• Time commitment: 20+ hours per week
• Pay: $80–$100 per hour
• Location: Worldwide and fully remote
• Working language: English

What You'll Do

You will create high-quality examples and technical feedback that help improve AI model training. Your work will center on practical, end-to-end computational physics workflows and the reasoning behind technical decisions.

• Create detailed walkthroughs of computational physics problem-solving in complex technical scenarios.
• Demonstrate practical use of Codex, Claude Science, Claude Code, and Claude Cowork for codebase navigation, debugging, and feature development.
• Document the approaches, decisions, and methodologies used during agent-driven sequence generation.
• Assess workflows involving architectural changes and ambiguous computational challenges.
• Produce high-quality examples and technical feedback for AI model training.
• Communicate technical findings accurately through written and verbal explanations.

Requirements and Helpful Background

This role is listed at the entry level, but it requires advanced hands-on computational physics experience and strong technical research judgment. Professionals who currently or recently work in STEM and actively use AI agents beyond basic coding support may be especially well suited.

You should be able to explain complex, end-to-end technical solutions; describe the tools and decisions involved; and assess agent-driven problem-solving sequences rather than relying only on chat interactions.

• Advanced hands-on experience in computational physics, technical problem-solving, and research.
• Real-world use of Codex, Claude Science, Claude Code, or Claude Cowork for multi-step STEM work is valuable.
• Ability to explain debugging, architectural changes, and decisions in large codebases.
• Experience with debugging, architectural change management, or development in large-scale code environments.
• Ability to generate and assess agent-driven sequences rather than relying on chat-based interactions.
• Strong written and verbal communication skills, including detailed technical documentation.
• Familiarity with computational research workflows and AI-assisted technical work is valuable.

Why Work With OpenTrain

AI training and data labeling are among the fastest-growing ways to work in technology. Modern AI systems depend on people who can prepare examples, evaluate outputs, and explain how expert decisions are made.

OpenTrain helps you build a durable AI training portfolio by giving you one place to develop a profile, discover relevant opportunities, and show credible experience. Your computational physics expertise can help shape how advanced AI systems perform in demanding technical environments.

• Apply your specialized STEM expertise to state-of-the-art AI training.
• Work remotely with flexible part-time scheduling.
• Develop a professional portfolio of AI-assisted technical work.
• Create an OpenTrain account for free and apply in minutes.