Software Engineer (Go)

Turing
•Remote

About The Position

Turing is building LLM evaluation and training datasets to help train LLMs on realistic software engineering problems. This project creates verifiable software engineering tasks from public repository histories using a synthetic, human-in-the-loop approach, while expanding coverage across programming languages, difficulty levels, and task types. The role is for experienced software engineers at a tech-lead level who are familiar with high-quality public GitHub repositories. It involves hands-on software engineering, including development environment automation, issue triaging, and evaluating test coverage and quality. Engineers will work with researchers to identify repositories and issues that challenge LLMs, and may have opportunities to lead junior engineers. The position is fully remote and offered as a contractor assignment. Work commitment options are 20, 30, or 40 hours per week, with at least four hours per day and a minimum four-hour overlap with PST. The contractor assignment does not include medical or paid leave.

Requirements

  • At least 3 years of overall experience.
  • Strong experience with Go.
  • Proficiency with Git, Docker, and basic software pipeline setup.
  • Ability to understand and navigate complex codebases.
  • Comfort running, modifying, and testing real-world projects locally.

Nice To Haves

  • Experience contributing to or evaluating open-source projects.
  • Previous participation in LLM research or evaluation projects.
  • Experience building or testing developer tools or automation agents.

Responsibilities

  • Analyze and triage GitHub issues across trending open-source libraries.
  • Set up and configure code repositories, including Dockerization and environment setup.
  • Evaluate unit test coverage and quality.
  • Modify and run codebases locally to assess LLM performance in bug-fixing scenarios.
  • Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs.
  • Potentially lead a team of junior engineers collaborating on projects.

Benefits

  • Fully remote work environment.
  • Opportunity to work on cutting-edge AI projects with leading LLM companies.
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