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Technical Program Lead, AI Delivery
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Among 5 openings that publish compensation, the median stated annual range is $151K–$250K USD. This uses observed listing data across 93 live jobs, never an estimated salary.
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Reach the decision-maker — $5About the role
About SuperAnnotate SuperAnnotate helps the world’s leading AI teams build responsible, next-generation models powered by high-quality human data. We’re a fast-growing Series B startup bridging the gap between advanced AI innovation and the data that drives it. Our global network of expert specialists, scalable managed operations, precise talent matching, and full project transparency ensure unmatched data quality at scale. Trusted by innovators like Databricks and ServiceNow - and backed by NVIDIA, Dell Technologies Capital, Databricks Ventures, Cox Enterprises, and Lionel Messi’s Play Time VC - SuperAnnotate is proud to be the top-ranked AI data company on G2 for multiple consecutive years, including 2025. The Impact You'll Make We're looking for a technical operator who can own SuperAnnotate's most complex AI data programs end-to-end, from scoping and data design through delivery, quality, and client-facing problem solving. This role is for someone who likes working directly with researchers and engineering teams, can debug messy data workflows, and wants meaningful ownership at the intersection of customer delivery, systems design, and AI model quality. You'll run the largest LLM and Gen AI data programs at SuperAnnotate, acting as a trusted technical resource to client researchers, diagnosing data quality issues, and reallocating resources under tight deadlines. You won't be training models yourself, but you'll need enough technical depth to inspect data, debug workflows, understand evaluation tradeoffs, and speak credibly with ML researchers and engineers. This is a full-time, hybrid position based in San Francisco.
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