Software Engineer, AI Research and Evaluation (US-Based)

Create and improve code examples used to train and benchmark large language models. You will write and correct code, then judge AI-generated solutions against software engineering standards.

• Work across Python backend and machine learning workflows, JavaScript frontend and API layers, and codebases using C/C++, Java, Rust, and Go.
• Assess code architecture, debugging, efficiency, scalability, reliability, and performance.
• Build agents and automated checks to verify code quality and identify recurring errors.
• Write and explain clear, structured reasons for your technical evaluations.

Requirements and schedule

• Location: United States.
• Time commitment: 20+ hours per week.
• At least three years of software engineering experience.
• Strong full-stack experience with Python, JavaScript, React, and Node.js.
• Experience deploying scalable, production-grade software with modern languages and tools.
• Deep knowledge of software architecture, design, development, debugging, and code review.
• Strong written and spoken English to explain technical judgments.

Engagement details

• Contractor engagement.
• Initial duration: one month, with possible extensions based on performance and fit.

How to apply

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

About AI training work

AI training work uses human examples and judgments to help AI systems learn. Software engineers contribute by writing and reviewing code examples and evaluating model outputs, applying expertise that general annotators may not have.