We are building LLM evaluation and training datasets to train LLMs to work on realistic software engineering problems. One of our approaches is to create verifiable SWE tasks based on public repository histories in a synthetic manner with human-in-the-loop, expanding dataset coverage across different task types, programming languages, and difficulty levels.
About the Role:
We seek experienced software engineers (tech lead level) familiar with high-quality public GitHub repositories to contribute to this project. Experience with well-maintained, widely-used repositories with 500+ stars is required. This role involves hands-on software engineering tasks, including environment automation, issue triaging, and evaluating test coverage and quality.
Why Join Us?
Turing is one of the worlds fastest-growing AI companies, advancing and deploying powerful AI systems. You will evaluate 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 include:
Required Skills:
Note: Experience with repositories having 500+ stars is mandatory.
Nice to Have:
Perks of Freelancing With Turing:
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