Turing is building LLM evaluation and training datasets based on realistic software engineering problems. This project creates verifiable software engineering tasks from public repository histories using a synthetic approach with human involvement, while expanding coverage across programming languages and difficulty levels. 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 engineering, including development environment automation, issue triage, and evaluation of test coverage and quality. The engineer will assess how LLMs handle real code and collaborate with researchers on tasks that challenge LLMs. There may also be opportunities to lead junior engineers. This is a fully remote contractor assignment. Commitment options are 20, 30, or 40 hours per week; the minimum is 20 hours weekly and at least four hours per day, with four hours of overlap with PST. The assignment does not include medical or paid leave.
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