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We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. Our approach includes building verifiable SWE tasks based on public repository histories in a synthetic approach with human‑in‑the‑loop, while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and more.
We are looking for experienced software engineers (tech lead level) who are familiar with high‑quality public GitHub repositories and can contribute to this project. This role involves hands‑on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality.
At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (Options: 20 hrs/week, 30 hrs/week, or 40 hrs/week)
Contractor assignment (no medical/paid leave).
3 months; expected start date next week.
Associate
Technology, Information and Internet and Software Development
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