Software Engineering, Data Science, and Systems Design Experts, Swift
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 should possess significant experience in software engineering, particularly with Swift, and demonstrate strong analytical skills. The position requires a deep understanding of coding challenges and the ability to assess model responses against established guidelines. Ideal candidates will have a background in computer science and experience with LLMs and 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 Swift
- 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): £60.00/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, Swift [$60-$100/hr]
Role 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
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 Swift
- 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