LiDAR 3D Annotation & Data Labeling Specialist
MindyAI Assistant company
RemoteMid
Sequoia Capital
Founders Fund
Arrive
Dreamers VC
Brian Bendett
Peterson Partners
Data & AINew
About the role
TL;DR
Annotate 3D LiDAR data for AI and machine learning projects.
- •Mindy Support is seeking detail-oriented professionals for a long-term project focused on 3D LiDAR cuboid annotation and spatial segmentation.
- •High-performing contributors will gain priority access to advanced, higher-paying autonomous vehicle and spatial AI projects.
- •Key Responsibilities Fit tight 3D cuboids around objects in 3D point clouds with high spatial accuracy.
- •Label individual points within dense point clouds for complex environmental geometry.
- •Review, refine, and audit AI-generated 3D bounding boxes and sensor fusion alignments.
- •Track dynamic objects across multi-frame LiDAR scenes, ensuring accurate vector consistency.
- •Requirements Minimum 6+ months of hands-on experience in 3D LiDAR point cloud annotation, 3D segmentation, or multi-sensor data labeling.
- •Proven expertise using 3D spatial software such as Segments.ai, BasicAI, Cognic, Scale AI, CVAT, or equivalent platforms.
- •Ability to maintain a 95%+ accuracy rate, strictly adhering to tight boundary rules and occlusion handling.
- •Skilled in using software shortcuts and hotkeys for efficient 3D sequence workflows.
Required skills
Computer Vision
Domain expertise
automotiveai