What You’ll Do Evaluate LLM-generated responses to coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checking using trusted public sources and authoritative references Conduct accuracy testing by executing code and validating outputs using appropriate tools Annotate model responses by identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensure model responses align with expected conversational behavior and system guidelines Apply consistent evaluation standards by following clear taxonomies, benchmarks, and detailed evaluation guidelines Who You Are You hold a BS, MS, or PhD in Computer Science or a closely related field You have significant (5+ years) real-world experience in software engineering or related technical roles You are an expert in at least two relevant programming languages (e.g., Python, Java, C++, C, JavaScript, Go, Rust, Ruby, SQL, Powershell, Bash, Swift, Kotlin, R, TypeScript, HTML/CSS) You are able to solve HackerRank or LeetCode Medium and Hard–level problems independently You have experience contributing to well-known open-source projects, including merged pull requests You have significant experience using LLMs while coding and understand their strengths and failure modes You have strong attention to detail and are comfortable evaluating complex technical reasoning, identifying subtle bugs or logical flaws Nice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiences Show less
