Executes 2D and 3D LiDAR annotation and segmentation according to SOPs, taxonomies, quality standards, and productivity targets. Maintains accurate object classification, identifies labeling errors and tool issues, escalates quality risks, documents problems, and suggests workflow improvements. Collaborates with peers, QA teams, and stakeholders in English while sustaining consistent performance in repetitive, high-volume production workflows.

Supervise AI/ML data annotation production teams supporting autonomous vehicle and ADAS programs. Own team performance against SLAs, KPIs, quality, productivity, utilization, and delivery targets. Manage coaching, evaluations, training, workforce planning, conflict resolution, and corrective actions. Monitor workflows, analyze operational metrics, conduct root cause analysis, recommend process improvements, and identify AI-driven automation opportunities while coordinating escalations and maintaining client service standards.