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A leading AI company is seeking experienced software engineers to evaluate how LLMs interact with real-world code. This role combines hands-on software engineering with AI research, offering a unique opportunity to influence AI-assisted software development. You'll analyze GitHub issues, set up code repositories, and collaborate with researchers while leading a team of junior engineers.
2 days ago Be among the first 25 applicants
We are building LLM evaluation and training datasets to train language models on realistic software engineering problems. One of our key approaches in this project is to create verifiable software engineering tasks based on public repository histories using a synthetic, human-in-the-loop process. We aim to expand dataset coverage across various programming languages, difficulty levels, and task types.
About the Role
We are looking for experienced software engineers (tech leads) who are familiar with public GitHub repositories to contribute to this project. The role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluation of test quality and coverage.
Why Join Us?
Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. In this role, you'll be at the forefront of evaluating how LLMs interact with real-world code, directly influencing the future of AI-assisted software development. This is a unique opportunity to combine practical software engineering with AI research.
What Your Day-to-Day Will Look Like
Required Skills
Nice to Have
Perks of Freelancing with Turing
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