Data Annotation Analyst
Core
Create high-quality ground-truth datasets for training and validating perception models for autonomous and operator-assisted machines by annotating camera imagery, video, and LiDAR point clouds.
Role type
Data Annotation Analyst (Computer Vision / 3D Spatial)
Builds
Ground-truth datasets for AI and machine perception systems
Domain
Autonomous systems, computer vision, 3D spatial data
Deliverable
production ML models
Required skills
2D and 3D object annotation, segmentation, object tracking, pose estimation, keypoint annotation, spatial reasoning, visual analysis, quality assurance, guideline adherence, tool navigation
Preferred skills
Image/video/LiDAR/3D annotation tool experience, background in subsurface utility engineering/construction surveying/GIS, AutoCAD proficiency, experience in construction/mining/agriculture/industrial operations, familiarity with point cloud data/sensor fusion/camera-LiDAR calibration, experience with autonomous vehicles/robotics/machine perception datasets
Technologies
Specialized annotation software, LiDAR point cloud tools, camera imagery tools, video processing tools
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 annotation guidelines and taxonomies; Maintain expected production volume while ensuring accuracy and consistency