Data Annotation Super Reviewer | Remotask (Telus Digital)
Remotasks3D SensorSegmentation
Labeled LiDAR and 3D point cloud datasets for machine learning training in autonomous vehicle perception. Applied semantic segmentation and object classification techniques on diverse point cloud data including urban roads, intersections, and pedestrian zones. Conducted annotation quality audits and root cause analysis for error reduction and process improvement. • Sustained 95%+ annotation accuracy for client deliverables • Promoted to Super Reviewer within 3 months based on speed and quality • Reviewed and validated peer-submitted labels for consistency • Maintained production targets under strict deadlines
Labeled LiDAR and 3D point cloud datasets for machine learning training in autonomous vehicle perception. Applied semantic segmentation and object classification techniques on diverse point cloud data including urban roads, intersections, and pedestrian zones. Conducted annotation quality audits and root cause analysis for error reduction and process improvement. • Sustained 95%+ annotation accuracy for client deliverables • Promoted to Super Reviewer within 3 months based on speed and quality • Reviewed and validated peer-submitted labels for consistency • Maintained production targets under strict deadlines
2021 - 2022