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We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. Our approach involves building verifiable SWE tasks based on public repository histories in a synthetic approach with human‑in‑the‑loop while expanding dataset coverage to different programming languages, difficulty levels, and more.
We are looking for experienced software engineers (tech lead level) familiar with high‑quality public GitHub repositories who can contribute to this project. The role involves hands‑on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality.
Turing is one of the world’s fastest‑growing AI companies accelerating the advancement and deployment of powerful AI systems. This is a unique opportunity to blend practical software engineering with AI research and influence how LLMs interact with real code.
At least 4 hours per day and a minimum of 20 hours per week with overlap of 4 hours with PST. Options: 20, 30, or 40 hours per week.
Contractor assignment (no medical/paid leave)
Associate
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