LiDAR 3D Annotation & Data Labeling Specialist

Key Responsibilities:

• Perform 3D LiDAR point cloud annotation by fitting accurate 3D cuboids around vehicles, pedestrians, cyclists, and static structures across frame sequences.
• Perform 3D semantic segmentation by accurately labeling individual points within dense point clouds without gaps or overlaps.
• Review, refine, and audit AI-generated 3D bounding boxes and multi-sensor alignments involving LiDAR and 2D camera feeds.
• Track dynamic objects across multiple frames while maintaining consistency in pitch, roll, yaw, and heading vectors.
• Follow defined annotation guidelines for cuboid boundaries, point density, occlusion handling, and spatial accuracy.
• Maintain required quality benchmarks while completing assigned annotation tasks within defined productivity targets.
• Use software shortcuts and hotkeys efficiently while working on 3D annotation workflows.

Key Requirements:

• Minimum 1+ year of hands-on experience in 3D LiDAR point cloud annotation, 3D segmentation, or multi-sensor data labeling
• Experience with platforms such as Segments.ai, BasicAI, Cognic, Scale AI, CVAT, or equivalent 3D annotation tools
• Ability to maintain 95%+ annotation accuracy
• Strong understanding of 3D spatial geometry, object boundaries, segmentation, and occlusion handling
• Ability to identify and annotate only visually verifiable spatial information without assumptions
• Good knowledge of object tracking across multi-frame LiDAR sequences
• Ability to work efficiently using keyboard shortcuts and hotkeys
• Comfortable working with background screen-recording requirements

Location - Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune,Remote