Precision Data Annotation Analyst for AI Perception

appen-2; United States; Remote; USD 41,000 - 44,000; Full time

Job summary

Appen is seeking a Data Annotation Analyst to produce precise training and evaluation data for perception systems used by autonomous machines. You will review imagery, video, and LiDAR data, applying labeling standards and balancing accuracy with throughput across complex scenes.

You will label 2D/3D objects, create segmentation and tracking annotations, and ensure consistency with class definitions and rules.

Qualifications

• Exceptional attention to detail for visually intensive work.
• Strong spatial reasoning to interpret 3D environments and object placement.
• Ability to learn and use purpose-built annotation software efficiently.
• Experience in fast-paced, high-volume quality targets.
• Experience with image- or generative-AI annotation workflows.”

Responsibilities

• Label 2D and 3D objects in imagery and LiDAR data.
• Create segmentation, tracking, pose, and keypoint annotations across image/video sequences.
• Apply class definitions, occlusion rules, and inclusion/exclusion criteria consistently.
• Review completed work and address QA feedback to maintain accuracy and throughput.
• Escalate ambiguous scenes and tooling issues with clear explanations and reproducible details.
• Document data or tooling issues and contribute to guideline improvements.

Skills

Attention to detail

Spatial reasoning

Annotation software

AI annotation workflows

Image/video labeling

Education

Associate or bachelor’s degree

Tools

Annotation software

Job description

Appen is seeking a Data Annotation Analyst to produce precise training and evaluation data for perception systems used by autonomous machines. You will review imagery, video, and LiDAR data, applying labeling standards and balancing accuracy with throughput across complex scenes.

You will label 2D/3D objects, create segmentation and tracking annotations, and ensure consistency with class definitions and rules.