3D & LiDAR Data Annotation Analyst

12 hours, 53 minutes ago
Contract
Junior
Data Science and Analytics
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
1001-5000
Founded 1996
$59M raised

Description

  • Annotate 2D and 3D objects in images, video, and LiDAR point clouds, including vehicles, machinery, people, signage, and environmental features.
  • Create accurate segmentation, object-tracking, pose, and keypoint annotations across sequences.
  • Apply annotation specifications for class definitions, occlusion, object thresholds, and inclusion and exclusion criteria.
  • Review completed work, incorporate QA feedback, and meet established quality, accuracy, and production-volume standards.
  • Escalate ambiguous scenes, sensor artifacts, tooling issues, and specification gaps rather than making assumptions.
  • Document data-quality and tooling issues with clear details and reproduction steps.
  • Participate in calibration sessions, guideline reviews, and team standups to maintain consistent annotation practices.
  • Share observations that improve annotation guidelines, taxonomies, and edge-case documentation.

Requirements

  • Strong attention to detail and ability to sustain accuracy during repetitive, visually intensive work.
  • Strong spatial reasoning and ability to interpret 3D environments, object size, position, and orientation.
  • Ability to learn complex purpose-built software and use keyboard shortcuts and tooling features effectively.
  • Experience working in a fast-paced environment with defined productivity, quality, or accuracy targets.
  • Experience with image-annotation GenAI workflows.
  • Reliable high-speed internet, a distraction-free workspace, and ability to work on a company-provisioned machine in a controlled environment.
  • Associate or bachelor’s degree (preferred).
  • Experience with image, video, LiDAR, or 3D annotation tools (preferred).
  • Experience with SUE, construction surveying, surveying, GIS, AutoCAD, or similar spatial-analysis tools (preferred).
  • Familiarity with point clouds, sensor fusion, camera-LiDAR calibration, autonomous vehicles, robotics, or machine-perception datasets (preferred).

Benefits

  • Flexible work approach tailored to you and your team.
  • Tools, resources, and development opportunities to build capability over time.
  • Work on AI challenges across industries and geographies.
  • Collaborative culture focused on innovation, accountability, and high-quality AI solutions.

Interested in this position?

Apply directly on the company website

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