About Us Turing is one of the world’s fastest-growing AI companies, pushing the boundaries of AI-assisted software development. Our mission is to empower the next generation of AI systems to reason about and work with real-world software repositories. You’ll be working at the intersection of software engineering, open-source ecosystems, and frontier AI.
Project Overview
We're building high-quality evaluation and training datasets to improve how Large Language Models (LLMs) interact with realistic software engineering tasks. A key focus of this project is curating verifiable software engineering challenges from public GitHub repository histories using a human-in-the-loop process.
Collaborate directly with AI researchers shaping the future of AI-powered software development.
Work with high-impact open-source projects and evaluate how LLMs perform on real bugs, issues, and developer tasks.
Evaluate code diffs for correctness, code quality, style, and efficiency.
7+ years of professional software engineering experience, ideally at top-tier product companies (e.g., Stripe, Datadog, Snowflake, Dropbox, Canva, Shopify,Intuit,PayPal, Research at IBM/GE/Honewell/Scheinder etc. ).
~ Strong fundamentals in software design, coding best practices, and debugging.
~ Excellent ability to assess code quality, correctness, and maintainability.
~ Bonus Points
Experience in LLM research, developer agents, or AI evaluation projects.
Background in building or scaling developer tools or automation systems.
Type: Contractor (no medical/paid leave)
potential extensions based on performance and fit)