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We are building LLM evaluation and training datasets to train LLMs to work on realistic software engineering problems. Our approach involves creating verifiable SWE tasks based on public repository histories in a synthetic manner with human-in-the-loop, expanding dataset coverage across different programming languages, difficulty levels, etc.
About the Role:
We seek experienced software engineers (tech lead level) familiar with high-quality public GitHub repositories to contribute to this project. Candidates should have experience with well-maintained, widely-used repos with 500+ stars. Responsibilities include hands-on software engineering tasks such as environment automation, issue triaging, and evaluating test coverage and quality.
Why Join Us?
Turing is one of the world’s fastest-growing AI companies, advancing and deploying 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 role offers a unique blend of practical software engineering and AI research.
Day-to-Day Responsibilities:
Required Skills:
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Perks of Freelancing With Turing: