Backed by Menlo.
About the role
Every project we run starts with people: software engineers, PhDs, physicians, lawyers, linguists, designers and other experts whose work trains and evaluates our customers' AI models. When a project needs 20 or 500 of them, the request comes to our Talent Matching team. We commit to a hiring timeline, find and assess the talent, and get them working by the date we promised. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 5+ years in fast-moving operations roles, such as marketplace or supply operations, strategy and operations, consulting, early-stage startup operations or staffing
- A track record of taking something that was off track and getting it delivered on a hard deadline, including the parts that weren't your job
- A steep learning curve. You get up to speed on an unfamiliar domain quickly enough to judge what good looks like, whether that's a software engineer, a physician or a linguist
- Excellent communication, written and in person. You give senior stakeholders and customers a clear picture in a few lines, especially when the news is bad
- You work well with product and engineering. You adopt tools that are still being built, find what's broken, and turn it into specific, useful feedback
- Comfort with data. You build your own reports in spreadsheets or SQL, and you manage your work from the numbers
More about this role
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 .
Every project we run starts with people: software engineers, PhDs, physicians, lawyers, linguists, designers and other experts whose work trains and evaluates our customers' AI models. When a project needs 20 or 500 of them, the request comes to our Talent Matching team. We commit to a...
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