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Turing is seeking experienced Engineers — Code / SWE to design high-quality multi-agent benchmark tasks. You will focus on real open-source code changes like bug fixes and refactors to evaluate AI agent performance.
This remote contractor role requires work on leading AI projects with a commitment of 8 hours per day and entails collaborating with global teams without included medical/paid leave. The contract is expected to last for 4 weeks, with an immediate start.
Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.
We are looking for experienced Engineers — Code / SWE to design and build high-quality multi-agent benchmark tasks based on real-world software engineering workflows.
In this role, you will create tasks grounded in real open-source code changes such as bug fixes, migrations, and refactors. These tasks are used to evaluate how effectively AI agents can understand large codebases, apply precise modifications, and produce correct, testable outputs.
You will work within a structured evaluation framework (Harbor), define clear task instructions, design verification logic, and decompose complex engineering problems across multiple specialized agents.