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We are building LLM evaluation and training datasets to train LLM 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 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 and 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. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI‑assisted software development. This is a unique opportunity to blend practical software engineering with AI research.
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.
After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
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