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)
Builds
Ground-truth datasets for AI and machine perception systems
Domain
Autonomous systems, computer vision, LiDAR, 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 control, guideline adherence, ambiguity identification, documentation
Preferred skills
Image annotation, GenAI data workflows, AutoCAD, construction surveying, GIS, subsurface utility engineering, point cloud data, sensor fusion, camera-LiDAR calibration, autonomous vehicle datasets, heavy equipment environments
Technologies
Camera imagery, video, LiDAR point clouds, specialized annotation 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
Seniority
Individual Contributor