Teams at Turing

Connects frontier AI model APIs to evaluation harnesses, runs large-scale benchmarks, analyzes model performance and failure modes, and translates findings into client reports. Supports technical pre-sales with AI labs, manages internal data systems and catalogs, curates datasets, audits provenance, and owns precise last-mile data packaging and delivery. The role requires strong Python, API, SQL, model evaluation, data manipulation, and client communication skills.

Lead end-to-end delivery of software-engineering data programs for frontier AI labs: design and run data pipelines, coordinate 100–1,000+ contributors, ensure annotation and dataset quality, manage client relationships, diagnose bottlenecks, and codify scalable operational playbooks.

Own and improve multi-cloud production infrastructure across GCP, AWS, and Azure. Build developer platforms, CI/CD pipelines, deployment automation, Terraform modules, and production Kubernetes environments. Lead incident response, root-cause remediation, observability, networking, security, cost optimization, and reliability initiatives. The role requires hands-on automation and programming, collaboration with security and application teams, mentoring, global on-call participation, and regular overlap with U.S. Pacific Time.