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

Information Technology

1K-5K (1265)

Founded 1996

$59M raised

11 open positions

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3D & LiDAR Data Annotation Analyst

3 weeks, 2 days ago

Anywhere

Mid Level

Data Annotator

Data Science and Analytics

Computer Vision

Apply Now

Appen

IT Services

1K-5K

Founded 1996

$59M raised

View All Jobs 11

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

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