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A leading AI company is seeking experienced software engineers at the tech lead level to contribute to LLM evaluation and training datasets. This role involves hands-on software engineering tasks, including automation and evaluating code quality, while working on cutting-edge AI projects. Join Turing to influence the future of AI-assisted software development in a fully remote environment.
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 using a synthetic approach with human-in-the-loop, expanding dataset coverage across different programming languages, difficulty levels, etc.
We are seeking 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 repositories with 500+ stars. The role involves hands-on software engineering tasks, including environment automation, issue triaging, and evaluating test coverage and quality.
Turing is one of the world’s 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 is a unique opportunity to combine practical software engineering with AI research.
Location: Paris, Île-de-France, France