LiDAR 3D Annotation & Data Labeling Specialist

📋 Description

• Create 3D bounding boxes for vehicles, pedestrians, cyclists, and structures in LiDAR frames.
• Perform 3D semantic segmentation by labeling points in dense clouds.
• Review AI-generated annotations for spatial accuracy and quality.
• Validate LiDAR annotations against 2D camera data and sensor fusion.
• Track objects across LiDAR frames with correct orientation data.
• Follow guidelines, ensure 95%+ accuracy, and maintain productivity.

🎯 Requirements

• Minimum 6 months 3D LiDAR annotation experience.
• Proficiency with Segments.ai, BasicAI, Cognic, Scale AI, CVAT, or similar tools.
• Strong understanding of 3D geometry and point-cloud data.
• Experience achieving high annotation accuracy (95%+ preferred).
• Knowledge of 3D bounding boxes, tracking, occlusion handling, and multi-frame consistency.
• Detail-oriented with ability to follow structured guidelines and workflows.

🎁 Benefits

• Remote-friendly, long-term contract opportunities (25–40 hrs/week).
• Paid onboarding, onboarding certification, and structured training.
• Opportunities to work on advanced AI and autonomous vehicle projects.
• Priority access to higher-paying projects for top contributors.
• Flexible remote work environment; multiple payment options.