Computational Physicist AI Training

Apply computational physics expertise to help train next-generation AI systems through high-quality, real-world technical input. This remote contract opportunity is suited to STEM professionals who use AI coding agents in active technical workflows, particularly for advanced computational problem-solving. Prior AI experience is not required.

• Create detailed walkthroughs of computational physics problem-solving in complex technical scenarios using AI coding agents.
• Demonstrate agent-driven work with Codex, Claude Science, Claude Code, and Claude Cowork, including navigating large codebases, debugging nuanced issues, and developing sophisticated features.
• Document the approaches, decisions, and methodologies used with AI agents for sequence generation, rather than chat-based tasks.
• Evaluate and describe workflows in which agentic tools supported architectural changes or resolved ambiguous computational challenges.
• Produce high-quality examples and technical feedback that inform AI model training.
• Communicate findings and insights clearly and accurately in written and verbal formats.

• Advanced hands-on computational physics experience, including a record of technical problem-solving and research.
• Proficiency with Python and demonstrable real-world use of Codex, Claude Science, Claude Code, and Claude Cowork.
• Current or recent STEM professional experience applying AI agents to technical workflows beyond basic coding support.
• Ability to explain complex, end-to-end technical solutions and the agentic tools used throughout the process.
• Strong written and verbal communication skills, with the ability to produce detailed technical documentation.
• Experience creating agent-driven problem-solving sequences rather than relying on chat-based interactions.
• Familiarity with debugging, architectural change management, and development in large-scale code environments using AI tools.

Remote contract engagement.

Compensation $80 to $100 per hour.