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Job Responsibilities:
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. “Owns quality, workforce, and training programs that scale Generative AI data operations, driving performance, compliance, and process improvement across a project.”
Key Responsibilities
Quality Assurance: Monitor QA plans in partnership with Quality team (sampling, audits, acceptance criteria). Track risks of defects,



lead corrective actions, and prevent recurrences.
Workforce Planning: Forecast capacity needs; schedule shifts and handoffs; align vendors and internal teams to meet volume and turnaround targets.
Training Programs: Build and deliver training and certification for raters/annotators and coordinators; update materials as guidelines change.
Performance Management: Maintain dashboards for throughput, quality, productivity, and cost; turn data into explicit actions for improvement.
Compliance & Security: Ensure policy adherence on data handling, privacy, safety, and platform access; support audits and remediation.
Process Improvement: Standardize SOPs and checklists; remove bottlenecks; pilot small changes that improve speed, quality, or cost.
Stakeholder & Client Support: Join client reviews with the Quality Manager and PMs; explain quality results, risks, and next steps.
Team Development: Coach Coordinators (C

📌 Project Manager, Gen AI Data Operations (Gurugram)
🏢 Welocalize
📍 Gurugram