Software Engineering, Data Science, and Systems Design Experts, C++

Software Engineering, Data Science, and Systems Design Experts, C++

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 extensive experience in software engineering, particularly with C++, 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 data annotation.

Key Responsibilities:

  • Evaluate LLM-generated responses for accuracy, reasoning, clarity, and completeness.
  • Conduct fact-checking using trusted public sources and authoritative references.
  • Perform accuracy testing by executing code and validating outputs.
  • Annotate model responses by identifying strengths and areas for improvement.
  • 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 and guidelines.

Key Skills:

  • BS, MS, or PhD in Computer Science or a closely related field.
  • 5+ years of real-world experience in software engineering or related technical roles.
  • Expertise in C++ programming language.
  • Ability to solve HackerRank or LeetCode Medium and Hard-level problems independently.
  • Experience contributing to well-known open-source projects.
  • Significant experience using LLMs while coding.
  • Strong attention to detail and comfort evaluating complex technical reasoning.
  • Prior experience with RLHF, model evaluation, or data annotation work (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/hour

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, C++ [$60-$100/hour]

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

  • 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 C++ programming language
  • 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

  • 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