The work
Create and review coding examples used to train and evaluate AI models. The work spans systems programming, infrastructure, backend development, and performance-focused software.
- Create precise coding examples and solutions in Python, C, C++, Rust, Go, Java, and JavaScript, including ReactJS.
- Review and correct AI-generated code for correctness, performance, scalability, and reliability.
- Assess AI capabilities in prototyping, architecture and API design, production development, monitoring, and ongoing operations.
- Build agents to check systems and infrastructure code, find recurring errors, and create automated ways to verify software solutions.
- Work with cross-functional teams to improve AI coding solutions against performance benchmarks.
What it pays and takes
- Pay: Not specified.
- Time: 20 or more hours per week.
- Location: Open to candidates in the United States.
- Work type: Contract and part-time.
- Experience: At least three years of software engineering experience.
- Expertise: Strong skills in systems programming, infrastructure, or backend development, plus experience building and deploying scalable, production-grade software.
- Skills: Deep knowledge of software architecture, design, development, debugging, and code-quality review. You should be able to explain your evaluation clearly in writing and conversation.
- Programming: Proficiency in relevant languages such as Python, C or C++, Rust, Go, Java, or JavaScript.
- Language: Fluent in English.
- Helpful background: Experience with advanced intelligent systems, frontier AI, or comparable production software environments. Strong technical ability and relevant engineering experience are valued alongside formal education.