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

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

Detailed Description From Employer:

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