LiDAR 3D Annotation / Data Labeling Specialist

Qasolvers; Mumbai, Delhi, Bengaluru; On-site; INR 420,000 - 660,000; Full time

Job summary

Qasolvers in India seeks a skilled 3D LiDAR annotation specialist to label point clouds and perform 3D segmentation across frame sequences.

You will review AI-generated 3D boxes, ensure accurate multi-sensor alignment with LiDAR and 2D feeds, and track objects with consistent pose vectors. Strong geometry sense and keyboard efficiency are required.

Qualifications

• 1+ year hands-on experience in 3D LiDAR annotation or similar labeling
• Experience with 3D annotation tools listed in ad
• Maintain 95%+ annotation accuracy
• Strong grasp of 3D geometry, boundaries and occlusion
• Annotate only verifiable spatial information without assumptions
• Experience tracking across multi-frame LiDAR sequences
• Efficient use of keyboard shortcuts and hotkeys
• Comfort with background screen-recording requirements

Responsibilities

• Perform 3D LiDAR point cloud annotation by fitting 3D cuboids around objects across frames
• Perform 3D semantic segmentation labeling points without gaps or overlaps
• Review and audit AI-generated 3D boxes and sensor alignments
• Track dynamic objects across frames maintaining pose consistency
• Follow guidelines for cuboid boundaries, density, occlusion, accuracy
• Maintain quality benchmarks within productivity targets
• Use software shortcuts efficiently in 3D annotation workflows

Skills

3D LiDAR annotation

3D segmentation

Multi-sensor labeling

Object tracking

3D spatial geometry

Occlusion handling

Keyboard shortcuts

Attention to accuracy

Tools

Segments.ai

BasicAI

Cognic

Scale AI

CVAT

Job description

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