LiDAR 3D Annotation & Data Labeling Specialist

📋 Description

• Create accurate 3D bounding boxes around objects in LiDAR frames
• Perform 3D semantic segmentation on dense point clouds
• Review AI-generated annotations for spatial accuracy
• Validate annotations against 2D camera feeds and sensor fusion
• Track objects across LiDAR frames with proper orientation vectors
• Follow cuboid, density, occlusion, and spatial guidelines

🎯 Requirements

• At least 6 months of 3D LiDAR annotation or related labeling
• Experience with Segments.ai, BasicAI, Cognic, Scale AI, CVAT, or similar
• Strong 3D spatial geometry understanding
• Ability to achieve 95%+ quality standards
• Experience with 3D bounding boxes and multi-frame consistency
• Interpret object orientation across pitch, roll, yaw

🎁 Benefits

• Remote, part-time to full-time workload 25–40 hrs/week
• Paid onboarding and ongoing project batches
• One-hour onboarding paid at entry to production
• Structured training on guidelines and workflows
• Opportunity to work on AI, autonomous vehicle projects
• Priority access to higher-paying projects for top contributors