- Salary
- $170k – $210k/yr
- Location
- San Francisco
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Service Operations
- Seniority
- Lead
- Education
- Master
- Source
- Lever
Description
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.
