ADAS 数据标注质检运营_BCSC
Core
Establishing, maintaining, and optimizing quality inspection standards for ADAS data (2D images, 3D point clouds, video, multi-sensor fusion) and managing vendor quality control.
Role type
Senior Quality Operations Specialist (ADAS Data Annotation)
Builds
High-quality training datasets for autonomous driving perception algorithms
Domain
Autonomous Driving / ADAS / Data Annotation
Deliverable
production ML models
Required skills
ADAS data annotation workflow knowledge, quality metric analysis (IoU, accuracy, recall), error classification and root cause analysis, vendor quality management, SQL, Python, Excel
Preferred skills
8D/PDCA/Six Sigma methodologies, data privacy compliance, data desensitization experience, English technical reading
Technologies
2D images, 3D point clouds, LiDAR, video, multi-sensor fusion data
Responsibilities
Define and optimize quality inspection rules for detection, segmentation, and lane marking tasks; build and manage quality training systems for annotation teams; analyze annotation errors and drive rule iterations; monitor and audit vendor data delivery quality.
Seniority
Mid-Senior, hands-on IC with team/vendor oversight
