Data Annotation Analyst: 2D/3D Vision Labeling

Remote; San Francisco (CA); On-site; USD 60,000 - 90,000; Full time

Job summary

Appen is seeking a Data Annotation Analyst to label 2D and 3D data from images, video, and LiDAR to help perception models. You will follow detailed guidelines, maintain accuracy, and balance throughput.

You will review QA feedback, escalate ambiguities, and document data quality issues while supporting calibration sessions. Ideal candidates bring strong attention to detail, spatial reasoning, and experience with image annotation GenAI workflows, plus the ability to work in a fast-paced

Qualifications

• Associate or bachelor’s degree or equivalent practical experience.
• Experience with image annotation GenAI workflows.
• Ability to work in a fast-paced, production environment with targets.

Responsibilities

• Annotate 2D and 3D objects across images, video, and LiDAR data.
• Create segmentation, object tracking, pose, and keypoint annotations.
• Follow detailed guidelines with class definitions and occlusion rules.
• Review work and respond to QA feedback to ensure quality.
• Identify ambiguous scenes and escalate tooling or spec gaps.
• Document data quality issues with clear reproduction steps.
• Participate in calibration sessions and guideline reviews.

Skills

Attention to detail

Spatial reasoning

Fast learner of annotation tools

GenAI workflows experience

Education

Associate or Bachelor’s degree

Tools

Annotation tools

AutoCAD

GIS

LiDAR data handling

Job description

Appen is seeking a Data Annotation Analyst to label 2D and 3D data from images, video, and LiDAR to help perception models. You will follow detailed guidelines, maintain accuracy, and balance throughput.

You will review QA feedback, escalate ambiguities, and document data quality issues while supporting calibration sessions. Ideal candidates bring strong attention to detail, spatial reasoning, and experience with image annotation GenAI workflows, plus the ability to work in a fast-paced