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
- Robust 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

📌 LiDAR 3D Annotation / Data Labeling Specialist (Mumbai)
🏢 QASolvers
📍 Mumbai