Full Stack Engineer

Create and assess code examples used to train and benchmark large language models. You will work with systems-level, infrastructure, backend, and performance-critical software.

• Build precise code solutions in Python, C/C++, Rust, Go, Java, and JavaScript, including ReactJS.
• Correct and evaluate AI-generated code for quality, performance, scalability, and reliability.
• Assess model capabilities in prototyping, architecture and API design, production implementation, monitoring, and operational maintenance.
• Build agents and verification methods to find error patterns and assess software solutions automatically.
• Work with others on AI coding solutions measured against industry performance benchmarks.

What it takes

• Open to candidates based in the United States.
• Fluency in English.
• Commit at least 20 hours per week; the engagement is described as flexible.
• Bring strong systems programming, infrastructure, or backend development experience, including experience building and deploying scalable production software.
• Have deep knowledge of software architecture, development, debugging, and code review, and be able to explain technical judgments clearly.
• Experience building production systems at a high-scale engineering organization and a strong computer science foundation are helpful.
• This is a contractor engagement with an initial one-month duration and possible extensions based on performance and fit.

How it works

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

About AI training work

AI training work uses examples and reviews from people to help improve artificial intelligence systems. In this role, software engineering judgment helps assess code quality and model performance.