The work
You will create and review code used to train and test large language models. The work focuses on systems programming, infrastructure, backend development, and production-level software engineering.
You will also help measure how well AI systems handle software architecture, implementation, deployment, monitoring, and ongoing operations.
- Curate code examples and develop accurate solutions for model training projects.
- Correct and evaluate code in Python, C/C++, Rust, Go, Java, JavaScript, and ReactJS.
- Review AI-generated code for correctness, performance, scalability, and reliability.
- Build agents that check infrastructure code quality and identify repeated error patterns.
- Design ways to automatically verify solutions to software engineering tasks.
- Provide clear, structured reasons for your technical evaluations.
What it pays and takes
This is a flexible contractor engagement for candidates based in the United States. The expected engagement is one month, with possible extensions based on performance and fit.
- Compensation: Not provided.
- Schedule: 20+ hours per week.
- Location: 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 skills, especially with Python, C/C++, Rust, or Go.
- Production experience: Experience building and deploying scalable, production-grade software.
- Core knowledge: Software architecture, design, development, debugging, and code review.
- Helpful background: Experience building production systems at a high-scale engineering organization and a strong computer science foundation. Practical technical skill is considered alongside formal education.