Software Engineering, Data Science, and Systems Design Experts, Ruby
Posted 1 week ago by Great Value Hiring
Negotiable
Undetermined
Undetermined
United Kingdom
Summary: The role involves evaluating LLM-generated responses to software engineering queries, ensuring accuracy and clarity while conducting fact-checking and code validation. Candidates are expected to have significant experience in software engineering, particularly with Ruby, and to apply consistent evaluation standards. The position requires strong attention to detail and the ability to assess code quality and reasoning. Ideal candidates will also have experience with LLMs and a background in competitive programming or open-source contributions.
Key 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
Key Skills:
- 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 Ruby
- 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 understanding their strengths and failure modes
- Strong attention to detail and comfortable evaluating complex technical reasoning, identifying subtle bugs or logical flaws
- Prior experience with RLHF, model evaluation, or data annotation work (nice to have)
- Track record in competitive programming (nice to have)
- Experience reviewing code in production environments (nice to have)
- Familiarity with multiple programming paradigms or ecosystems (nice to have)
- Experience explaining complex technical concepts to non-expert audiences (nice to have)
Salary (Rate): £100.00/hr
City: undetermined
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Software Engineering, Data Science, and Systems Design Experts, Ruby [$60-$100/hr]
Role Responsibilties
- 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
Good Candidature
- 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 Ruby
- 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
Nice to Have
- 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