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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.
What You'll Do
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.
Identify root causes and drive corrective actions with Team Leads.
Resolve guideline-related questions and document decisions.
Share quality insights after each delivery.
Report quality performance to the Quality Manager.
You're a Good Fit If You
Required skills: Quality Management
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.
Independent contractor engagement through Turing. Apply via the link below - Turing handles vetting, onboarding and payment.
Common Questions
Turing has a reliability rating of very reliable based on the listings we track, with an onboarding time of 5-14 days. See our full Turing review for the details behind that rating.
Applying takes you to Turing's own website, where the application is completed. We are not a recruiter or employer and do not process applications directly - we may be recorded as the referring source.
Pay varies - Independent contractor engagement through Turing. Apply via the link below - Turing handles vetting, onboarding and payment.
Lead Senior QA Leads and QA Leads across shifts. Set review priorities, sampling plans, and quality coverage. Implement audits, scoring rubrics, and calibration processes.