This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a 3D Annotation & Data Labeling Specialist based in India.
This role offers the opportunity to contribute to advanced AI and machine learning projects through highly accurate 3D spatial data annotation.
You will work extensively with LiDAR point clouds, creating precise 3D bounding boxes and semantic segmentation across complex environments.
Your work will help improve the quality of datasets used to train and evaluate autonomous vehicles and spatial AI systems.
The position combines detailed annotation, multi-sensor quality assurance, and object tracking across sequential 3D scenes.
You will operate within structured quality standards where precision, consistency, and adherence to annotation guidelines are essential.
High-performing contributors may gain priority access to more advanced and higher-paying autonomous vehicle and spatial AI projects.
This is a robust opportunity for detail-oriented professionals seeking long-term,
technology-focused contract work.
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Accountabilities
Create accurate 3D bounding boxes around vehicles, pedestrians, cyclists, static structures, and other relevant objects across LiDAR frame sequences.
Perform detailed 3D semantic segmentation by labeling individual points within dense point clouds while avoiding gaps, overlaps, and inaccurate classifications.
Review and refine AI-generated 3D annotations to ensure they meet established spatial accuracy and quality standards.
Conduct multi-sensor quality assurance by validating LiDAR annotations against 2D camera feeds and checking sensor-fusion alignment.
Track dynamic objects consistently across multiple LiDAR frames, maintaining accurate pitch, roll, yaw, and heading information.
Apply strict cuboid boundary, point-density, occlusion, and spatial annotation guidelines throughout production workflows.
Maintain a minimum target accuracy of 95% while balancing pr
📌 LiDAR 3D Annotation (India)
🏢 Jobgether
📍 India
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