Senior JavaScript/React Engineer (US-Based) for AI Training

Create and improve software engineering examples used to train and evaluate AI coding systems. You will apply full-stack engineering judgment to code review, solution development, and model evaluation.

• Curate code examples and correct solutions in Python, JavaScript, React, Node.js, C/C++, Java, Rust, and Go.
• Review AI-generated code for efficiency, scalability, reliability, and quality across frontend and backend work.
• Build agents and automated checks to find error patterns and verify software solutions.
• Assess AI coding systems across prototyping, architecture and API design, production implementation, launch, experimentation, monitoring, and ongoing operations.
• Work with cross-functional teams to improve AI coding solutions against industry benchmarks.

What it pays and takes

• Pay: Not provided.
• Hours: At least 20 hours per week.
• Location: Open to candidates in the United States.
• Engagement: Part-time contractor role with an initial one-month term and possible extensions based on performance and fit.
• Skills: Strong full-stack development experience with Python and JavaScript, including React and Node.js, plus experience deploying production-grade software.
• Skills: Deep knowledge of software architecture, design, development, debugging, and code review.
• Communication: Strong written and spoken English, including the ability to explain evaluations clearly and in a structured way.
• Helpful background: Experience shipping high-impact products in a fast-moving engineering environment, strong computer science foundations, and production systems experience. Demonstrated engineering ability matters more than academic background.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training work is the human work behind AI systems, including preparing examples and reviewing model responses or generated code. Experienced engineers contribute the judgment needed to assess whether code is correct, reliable, and useful.