Software Engineering, Data Science, and Systems Design Experts, Rust

Great Value Hiring is seeking experts in Software Engineering, Data Science, and Systems Design with a focus on Rust. The role involves evaluating LLM-generated responses for accuracy, conducting fact-checking, and ensuring model responses meet quality and clarity standards.

Responsibilities:

• 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

Requirements:

• BS, MS, or PhD in Computer Science or a closely related field
• Significant (5+ years) real-world experience in software engineering or related technical roles
• Expert in Rust
• Able to solve HackerRank or LeetCode Medium and Hard–level problems independently
• Experience contributing to well-known open-source projects, including merged pull requests
• Significant experience using LLMs while coding and understand their strengths and failure modes
• Strong attention to detail and are comfortable evaluating complex technical reasoning, identifying subtle bugs or logical flaws
• 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