Data Annotation Analyst
Core
Create high-quality ground-truth datasets for training and validating perception models for autonomous and operator-assisted machines using camera imagery, video, and LiDAR point clouds.
Role type
Data Annotation Analyst (Computer Vision)
Builds
Ground-truth datasets for AI and machine perception systems
Domain
Autonomous systems, Computer Vision, LiDAR
Deliverable
production ML models
Required skills
Spatial reasoning, Visual analysis, Annotation tool proficiency, Quality control, Specification adherence, Ambiguity identification, Documentation, Calibration participation, Production volume management
Preferred skills
Image/video/LiDAR/3D annotation experience, AutoCAD familiarity, Construction/surveying/GIS background, Point cloud/sensor fusion knowledge, Autonomous vehicle/robotics dataset experience
Technologies
Camera imagery, Video, LiDAR point clouds, Specialized annotation software, AutoCAD
Responsibilities
Annotate 2D and 3D objects across images, video, and LiDAR point clouds; Create and maintain accurate segmentation, object tracking, pose, and keypoint annotations; Apply detailed annotation specifications; Review completed work and respond to QA feedback; Identify and escalate ambiguous scenes or tooling problems; Document data quality and tooling issues; Participate in calibration sessions and guideline reviews; Share observations to improve guidelines and taxonomies; Maintain expected production volume while ensuring accuracy.