3D & LiDAR Data Annotation Analyst

About the Role

Join our team to build high-quality ground-truth datasets for training perception models in autonomous and operator-assisted machines, working with cutting-edge 2D and 3D data.

Responsibilities

• Annotate 2D and 3D objects across images, video, and LiDAR point clouds, including vehicles, machinery, people, signage, and environmental features.
• Create and maintain accurate segmentation, object tracking, pose, and keypoint annotations across sequences.
• Apply detailed annotation guidelines, including class definitions, occlusion rules, object thresholds, and inclusion/exclusion criteria.
• Review your work, respond to QA feedback, and maintain established quality and accuracy standards.
• Identify and escalate ambiguous scenes, sensor artifacts, tooling issues, and gaps in specifications.
• Document data quality and tooling issues with clear details and reproduction steps.
• Participate in calibration sessions, guideline reviews, and team standups to maintain consistent interpretations.
• Share observations that help improve annotation guidelines, taxonomies, and edge-case documentation.

Requirements

• Strong attention to detail and the ability to maintain accuracy while performing repetitive, visually intensive work for extended periods.
• Strong spatial reasoning skills, including the ability to interpret 3D environments and understand object size, position, and orientation.
• Ability to learn and navigate complex, purpose-built software and become productive with keyboard shortcuts and other tooling features.
• Experience working in a fast-paced, scaled environment with defined productivity, quality, or accuracy targets.
• Experience with image annotation GenAI workflows
• Reliable high-speed internet, a distraction-free workspace, and the ability to work on a company-provisioned machine within a controlled environment.

Nice-to-Haves

• Associate or bachelor’s degree.
• Experience with image, video, LiDAR, or 3D annotation tools.
• Experience with subsurface utility engineering (SUE), construction surveying, surveying, GIS, or other work involving spatial interpretation of physical environments.
• Experience with AutoCAD or similar type tools
• Experience in construction, mining, agriculture, industrial operations, or heavy equipment environments.
• Familiarity with point cloud data, sensor fusion, or camera-LiDAR calibration.
• Experience working with autonomous vehicles, robotics, or machine perception datasets.