Job DescriptionApply your production engineering judgment to improve AI-generated code. You will evaluate implementations, identify root causes and develop clear reference solutions for AI training. This is a software engineering and code-evaluation role, not a manual testing position.What You Will DoReview AI-generated code for correctness, reliability, security, performance, scalability and maintainability.Diagnose bugs, incomplete implementations, edge cases and architectural weaknesses in unfamiliar codebases.Evaluate fixes, features, refactoring, APIs, configurations and database changes, comparing alternative solutions.Improve implementations and explain technical issues and recommendations clearly.Develop evaluation criteria, annotations and rubrics, collaborating with researchers on coding benchmarks.What You Will Bring7+ years of professional software engineering experience building, maintaining, debugging and reviewing production software.Strong proficiency in at least one programming language such as Python, JavaScript/TypeScript, Java, C++, Go, C#, Ruby, PHP or Rust.Strong knowledge of clean code, modular architecture, abstraction, error handling and software design.Experience identifying functional, performance, security and design issues, with strong debugging and root-cause analysis.Familiarity with Git, collaborative code reviews and modern engineering practices.Strong knowledge of data structures, algorithms, APIs, databases and application architecture.Strong written English and clear technical communication.Project DetailsExpected project length is three months.
Availability of at least 40 hours per week, 8 hours per day and four hours of daily Pacific Time overlap is required. Selection includes an approximately 20-minute client AI interview and a 45-60-minute technical delivery interview. Include your LinkedIn profile URL in your required resume.
Senior Software Engineer - AI Code Quality in san francisco at Unknown Company
This position is listed as full time and onsite.