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3D & LiDAR Data Annotation Analyst

55 minutes ago
Anywhere
Mid Level
Data Annotator
Data Science and Analytics
Computer Vision
Apply Now
Appen

Appen

Appen is a global leader in providing high-quality data management services for AI development. With over 1 million crowd workers, Appen supports the world's top technology companies in enhancing their products and services. The company offers a divers...

IT Services
1K-5K
Founded 1996
$59M raised
View All Jobs 9

Description

  • Annotate 2D and 3D objects in images, video, and LiDAR point clouds.
  • Create and maintain segmentation, object tracking, pose, and keypoint annotations.
  • Apply detailed labeling guidelines, including class definitions, occlusion rules, and inclusion criteria.
  • Review annotations, address QA feedback, and meet quality and production standards.
  • Identify and escalate ambiguous scenes, sensor artifacts, tooling issues, and specification gaps.
  • Document data quality and tooling issues with reproduction steps.
  • Participate in calibration sessions, guideline reviews, and team standups.
  • Provide feedback to improve annotation guidelines, taxonomies, and edge-case documentation.

Requirements

  • Strong attention to detail during repetitive, visually intensive work.
  • Strong spatial reasoning and ability to interpret 3D environments, object dimensions, positions, and orientations.
  • Ability to learn complex annotation software and use keyboard shortcuts and tooling features.
  • Experience working in a fast-paced environment with productivity, quality, or accuracy targets.
  • Experience with image annotation GenAI workflows.
  • Reliable high-speed internet and a distraction-free workspace.
  • Ability to work on a company-provisioned machine within a controlled environment.
  • Associate or bachelor’s degree preferred.
  • Experience with image, video, LiDAR, or 3D annotation tools preferred.
  • Experience with surveying, GIS, SUE, construction, mining, agriculture, industrial operations, AutoCAD, point clouds, sensor fusion, autonomous vehicles, robotics, or machine perception datasets preferred.

Benefits

  • Flexible work arrangements supported by tools and resources.
  • Professional development and opportunities to build capabilities.
  • Collaborative culture focused on innovation, accountability, and quality.
  • Opportunity to work on AI challenges across industries and geographies.

Interested in this position?

Apply directly on the company website

Apply Now

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