The work
You will help evaluate and improve software engineering data used to train and benchmark large language models. The work combines hands-on coding judgment with structured reviews of AI-generated solutions.
You will work across Python, C/C++, Rust, Go, Java, and JavaScript, including ReactJS. The role focuses on systems programming, infrastructure, performance-critical applications, scalability, and reliability.
- Curate code examples and create precise solutions for model-training datasets.
- Correct and refine code across Python, C/C++, Rust, Go, Java, and JavaScript, including ReactJS.
- Review AI-generated code for correctness, efficiency, scalability, reliability, and performance.
- Build agents that verify systems-level and infrastructure code.
- Identify recurring error patterns and assess model capabilities across the software engineering lifecycle.
- Design verification methods that can automatically validate solutions to software engineering tasks.
What it pays and takes
The listing does not provide a pay rate. This is a flexible contractor engagement with an initial one-month duration and possible extensions based on performance and fit.
- Workload: 20 or more hours per week.
- Location: Open to candidates based in the United States.
- Engagement: Contractor and part-time.
- Experience: At least three years of software engineering experience.
- Technical background: Strong systems programming, infrastructure, or backend development experience, especially with Python, C/C++, Rust, or Go.
- Production skills: Experience building and deploying scalable, production-grade software.
- Engineering judgment: Strong knowledge of software architecture, design, development, debugging, and code-quality review.
- Communication: Ability to write and explain clear, structured evaluation rationales.
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 side of building artificial intelligence. People prepare examples, review model responses, evaluate code, and create checks that help AI systems produce more accurate and reliable results.
OpenTrain is a platform where people find AI training and data-labeling work, build a profile, and apply to projects across the industry.