Scientific Computing Expert for AI Model Training [Remote]

Apply advanced scientific computing expertise to real engineering and research codebases, demonstrating how AI coding agents can be integrated into complex workflows. Your contributions will help train next-generation AI systems by supplying high-quality, real-world examples, code sequences, and structured evaluations that show how AI agents perform on ambiguous, large-scale scientific problems.

• Provide detailed, real-world examples of AI coding agent integration into scientific computing workflows.
• Demonstrate and document the use of Codex, Claude Science, Claude Code, and Claude Cowork to navigate large codebases, perform debugging, and implement features.
• Produce high-quality written narratives and deliver clear verbal explanations of technical approaches, challenges encountered, and problem-solving strategies.
• Assess and describe the practical impact of AI agents on ambiguous requirements, architectural changes, and full project cycles.
• Submit concise, structured feedback on strengths, limitations, and potential improvements for current AI tools in scientific computing contexts.
• Contribute real-world data, scripts, or code samples created through AI agentics, specifically showing agent-generated sequences rather than single chat queries.

• Required skills: scientific computing, AI tool integration, Codex, Claude Science, Claude Code, Claude Cowork, debugging large codebases, feature implementation, technical documentation, written communication, verbal communication, providing structured feedback, problem-solving, workflow articulation.
• No prior AI industry experience required, domain expertise in scientific computing is the primary factor.
• Preferred: current STEM professional with significant hands-on experience in scientific computing and AI tool integration.
• Preferred: proven ability to apply AI agents to large-scale, ambiguous, or complex engineering or research challenges.
• Preferred: exceptional written and verbal communication skills, experience producing thorough technical documentation and evaluations, and a track record of using AI agentics to generate multi-step outputs or code sequences in professional settings.
• Collaborative, detail-oriented mindset and a passion for advancing AI capabilities in STEM contexts.

• Role type: Contractor.
• Location: Remote.
• Engagement focuses on contributing examples, documentation, and evaluations that will be used to train and improve AI systems.

• Pay rate: $80.00 to $100.00 per hour.

• Candidates must be able to engage as independent contractors and perform work remotely.
• No specific work-authorization details are provided, applicants should ensure they meet any local contracting requirements where they reside.

To apply, submit materials that demonstrate your scientific computing expertise and your experience with AI agents. Provide code samples or scripts, examples of agent-generated sequences, and a brief written summary describing how you used Codex or Claude agents to solve technical challenges. Candidates will be identified and vetted through an AI-assisted recruiting and technical review process that evaluates domain fit, communication ability, and the quality of submitted examples.