Availability 5 working days per week, including weekends as required, with two weekdays off
Work hours 7:00am – 4:00pm PST
Years of experience 5–7 years (including 2–3 years leading QA or quality operations teams)
Role Overview The Quality Operations Lead manages day-to-day quality operations for multimodal AI annotation projects. Reporting to the Quality Manager, the role leads QA teams, monitors quality, resolves issues quickly and ensures client standards are met within tight turnaround times.
Key Responsibilities
- 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 questions and document decisions
- Share quality insights after each delivery
- Report quality performance to the Quality Manager
- Support client reviews and quality-based incentive programmes
Required Qualifications
- 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 the ability to identify systemic issues
- Solid communication and stakeholder-management skills
- Experience in annotation, data labelling or AI training data projects is preferred
Offer Details
1. This is a project-based role with a defined number of evaluation tasks.
2. Each task involves comparing multiple chatbots and giving a final assessment.
3. Schedule: five working days per week, including weekends as required, with two weekdays off.
4. Work hours: 7:00am – 4:00pm PST.
5. Duration: 16 weeks.
📌 Quality Operations Lead (India)
🏢 TTC Group (Tech Talent Consulting)
📍 India
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