Field Engineer, AI Labs

About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . About the role Turing builds the training and evaluation data powering the world’s leading frontier AI labs. As these labs push the frontier, they bring us their newest models and ask the critical question: how does our model perform against your benchmark datasets, where does it fail, and what data will make it climb the hill? As a Field Engineer, AI Labs , you are the technical face of Turing to frontier research teams. You sit at the exact intersection of client-facing solutions engineering and hands-on AI evaluation. When a frontier lab provides a new model endpoint, you wire it up, run comprehensive evals across Turing’s datasets, synthesize raw performance metrics into actionable intelligence, and present those findings directly to client researchers and technical leaders. This is not a pure research engineering seat and not a traditional forward-deployed IT role. It is a high-velocity, high-agency solutions engineering role for a technically fluent, dependable builder who thrives on talking to customers, running benchmarks across model APIs, and packaging last-mile data deliveries with extreme precision. Why this role matters You will work directly with research scientists and technical executives at top AI labs (such as xAI, Anthropic, OpenAI, and emergent frontier labs). Every eval you run and every benchmark report you write directly influences how frontier labs evaluate model capabilities, uncover failure modes, and procure the pre-training and post-training data required for next-generation intelligence. What you’ll own Evaluation & Benchmarking Connect frontier model APIs and inference endpoints (OpenAI, Anthropic, AWS Bedrock, vLLM, private client gateways) into evaluation harnesses. Execute large-scale benchmark runs across proprietary Turing datasets (reasoning, coding, multimodal, agentic environments, and GDP Val). Analyze eval results, isolate failure cases, detect model behavioral drift, and identify the exact data distributions needed to address capability gaps. Technical Pre-Sales & Client Engagement Serve as the technical counterpart to sales leads on calls with frontier AI labs and enterprise AI teams. Translate complex evaluation metrics into compelling, high-signal reports, client presentations, and technical collateral. Answer technical questionnaires and RFIs from lab researchers regarding data design, task curation, difficulty stratification, and rubrics. Surface lab feedback and emerging benchmark requirements back to internal R&D and dataset design teams. Internal Data Systems & Catalog Stewardship Navigate and operate Turing’s internal data infrastructure (DataOS, Data Hub, and task catalogs) to query, manipulate, and move data pipelines. Slice and curate custom data subsets based on specific difficulty thresholds, benchmark rubrics, or top-performing data points. Audit data provenance and maintain up-to-date specifications across Turing's public catalog and internal dataset inventories. Packaging & Last-Mile Delivery