Oxeil It

Data Annotation

AI Medical Technology • Full time

Jan 2024 - May 2026 • 2 yrs 4 mos

HD Map & Lane Annotation Road geometry annotation — lane centerlines, lane boundaries, road markings, and intersection topology — directly contributing to ADAS and autonomous driving systems used in production vehicles across global road networks. LiDAR Point Cloud Annotation 3D bounding box annotation, object classification, and scene labeling for autonomous driving datasets. KITTI, nuScenes, and Waymo-compatible output formats. Semantic Segmentation Pixel-level annotation of complex driving scenes including vehicles, pedestrians, roads, buildings, and vegetation — clean polygon boundaries with accurate class assignments at production-grade quality. Sensor Fusion Annotation Camera and LiDAR combined annotation workflows with multi-sensor object alignment and consistent labeling across all data modalities. Video & Sequence Annotation Frame-by-frame object tracking with consistent object IDs maintained across long video sequences for complete autonomous driving dataset pipelines. 3D Cuboid & Keypoint Annotation Precise 3D bounding boxes for vehicles, cyclists, and pedestrians with accurate orientation, dimension labeling, and pose estimation. PROFESSIONAL BACKGROUND: → 19,000+ annotations completed on enterprise AV production projects → Mobileye-grade PTv2 annotation tool — expert level → Dual-view Bird's Eye + Camera professional workflow → Network-based enterprise cloud data pipeline experience → Real global road scene data — Netherlands, South Korea, and international locations