About the role
Manage day-to-day quality operations for multimodal AI annotation projects. Reporting to the Quality Manager, you will lead QA teams, monitor quality performance, resolve issues quickly, and ensure deliverables meet client standards within tight turnaround times. Main tasks listed: Lead Senior QA Leads and QA Leads across shifts; Set review priorities, sampling plans, and quality coverage; Implement audits, scoring rubrics, and calibration processes; Track accuracy, agreement, error rates, review throughput, and turnaround time.
Experience
5–7 years of overall experience, including 2–3 years leading QA or quality operations teams; Strong knowledge of sampling, auditing, calibration, and root-cause analysis; Excellent attention to detail and ability to identify systemic issues; Strong communication and stakeholder-management skills; Experience in annotation, data labeling, or AI training data projects is preferred
Selection process
Apply through the official Turing page (free account required). The listing does not describe further selection steps.
Eligibility
Not stated on the listing (remote)