Owns quality assurance, workforce planning, and training programs for AI training data delivery on multiple small projects or one large strategic project
Improves performance, compliance, and processes across multiple projects
Partners with the Senior Quality Analyst to share accountability for client outcomes and team performance
Monitor QA plans in partnership with Quality team (sampling, audits, acceptance criteria)
Track risks of defects, lead corrective actions, and prevent recurrences
Forecast capacity needs; schedule shifts and handoffs; align vendors and internal teams to meet volume and turnaround targets
Build and deliver training and certification for raters/annotators and coordinators; update materials as guidelines change
Maintain dashboards for throughput, quality, productivity, and cost; turn data into clear actions for improvement
Ensure policy adherence on data handling, privacy, safety, and platform access; support audits and remediation
Standardize SOPs and checklists; remove bottlenecks; pilot small changes that improve speed, quality, or cost
Join client reviews with the Quality Manager and PMs; explain quality results, risks, and next steps
Coach Coordinators (C2–C3) and Associate PMs (P1) on QA, workflows, and tools; support onboarding and skills growth
Manage employee attendance, conduct individual performance reviews and support contract renewals
Keep risk/issue logs; manage change requests that impact quality, capacity, or training; escalate high-impact items with options
Requirements
Bachelor’s degree or equivalent experience in business, data/operations, engineering, or related fields
2+ years in project/operations delivery with hands-on QA and workforce planning (AI data, content review, labeling/annotation, or adjacent domains)
Experience running trainings and coordinating multi-team delivery
Clear communication with clients and internal partners; confident in reviews and governance forums
Solid use of spreadsheets, PM/task boards, and basic BI; familiarity with ETL concepts is a plus
Practical QA know-how (sampling, audits, acceptance criteria) and continuous-improvement mindset
Capacity planning, scheduling, and vendor coordination
Coaching for C2–C3 Coordinators and P1s; gives day-to-day guidance
Confident escalation and negotiation to resolve risks, issues, and scope questions
Comfortable working with global, distributed teams (intermediate to advanced English)