Data Annotation Analyst: 2D/3D Labeling for AI Perception

Appen Butler Hill Inc; United States; Remote; USD 50,000 - 80,000; Full time

Job summary

Appen is seeking a Data Annotation Analyst to label 2D and 3D data across images, videos, and LiDAR. You will create precise segmentation, tracking, pose, and keypoint annotations following strict guidelines while maintaining high quality and production throughput.

You will review work, address QA feedback, and escalate ambiguous scenes. This role supports calibration sessions and contributes to edge-case documentation in a fast-paced environment.

Qualifications

• Demonstrated attention to detail in visually intensive tasks.
• Ability to interpret 3D environments and object dimensions.
• Proven ability to learn and use complex, purpose-built software.
• Experience in fast-paced, production-targeted settings.
• Familiarity with image annotation GenAI workflows.
• Reliable high-speed internet and a distraction-free workspace.

Responsibilities

• Annotate 2D and 3D objects across images, video, and LiDAR point clouds.
• Create and maintain segmentation, object tracking, pose, and keypoint annotations.
• Apply detailed annotation guidelines including class definitions and occlusion rules.
• Review work, respond to QA feedback, and maintain quality standards.
• Identify ambiguous scenes or tooling issues and document gaps.
• Participate in calibration sessions and guideline reviews.

Skills

Attention to detail

Spatial reasoning

Software navigation

GenAI workflows

Fast-paced environment

Reliable internet

Education

Associate or bachelor’s degree

Tools

AutoCAD

Image annotation tools

Job description

Appen is seeking a Data Annotation Analyst to label 2D and 3D data across images, videos, and LiDAR. You will create precise segmentation, tracking, pose, and keypoint annotations following strict guidelines while maintaining high quality and production throughput.

You will review work, address QA feedback, and escalate ambiguous scenes. This role supports calibration sessions and contributes to edge-case documentation in a fast-paced environment.