About The Position

Turing is seeking experienced software engineers with tech-lead-level experience to help build LLM evaluation and training datasets based on realistic software engineering problems. The project creates verifiable software engineering tasks from public repository histories using a synthetic, human-in-the-loop approach, while expanding coverage across programming languages and difficulty levels. The role involves hands-on software engineering work, including setting up development environments, triaging issues, and assessing test coverage and quality. Engineers will work with trending open-source libraries, modify and run codebases locally to evaluate LLM performance on bug-fixing scenarios, and collaborate with researchers on identifying repositories and issues that are challenging for LLMs. There may also be opportunities to lead junior engineers. This is a fully remote contractor assignment. The commitment is at least four hours per day and 20 hours per week, with four hours of overlap with PST. Available commitment options are 20, 30, or 40 hours per week. The assignment does not include medical or paid leave.

Requirements

  • At least 3 years of overall experience.
  • Strong experience in JavaScript or TypeScript.
  • 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 development 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 working on projects.

Benefits

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