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We are building LLM evaluation and training datasets to train LLMs to work on realistic software engineering problems. One of our approaches is to build 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 (programming language, difficulty level, etc.).
We are looking for experienced software engineers (tech lead level) familiar with high‑quality public GitHub repositories. The 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 an 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 is next week.
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