3D LiDAR & Vision Data Annotation Specialist

Jobicy; United States; Remote; USD 40,000 - 60,000; Full time

Job summary

Appen is seeking a Data Annotation Analyst to label camera imagery, video, and LiDAR data to build precise annotations for autonomous perception systems. You will follow strict guidelines, maintain high quality, and balance production targets in a fast-paced environment.

The role emphasizes detailed annotation across 2D/3D data, collaboration with QA, and contributing to guideline improvements, with a focus on reliability and consistency in annotations.

Qualifications

• Strong attention to detail in visually intensive work.
• Ability to interpret 3D environments and object positioning.
• Experience with image annotation GenAI workflows.
• Comfort learning and navigating specialized annotation software.

Responsibilities

• Annotate 2D and 3D objects across images, video, and LiDAR data.
• Create and maintain segmentation, tracking, pose, and keypoint annotations.
• Follow detailed guidelines for definitions, occlusion rules, and inclusion criteria.
• Review work, respond to QA feedback, and maintain quality standards.
• Identify ambiguous scenes and tooling issues; document findings with steps to reproduce.
• Participate in calibration sessions and guidelines reviews to ensure consistency.
• Share observations to improve guidelines and taxonomies.

Skills

Attention to detail

Spatial reasoning

GenAI workflows

Tool navigation

Education

Associate degree

Bachelor's degree

Tools

AutoCAD

Annotation tools

Point cloud software

Job description

Appen is seeking a Data Annotation Analyst to label camera imagery, video, and LiDAR data to build precise annotations for autonomous perception systems. You will follow strict guidelines, maintain high quality, and balance production targets in a fast-paced environment.

The role emphasizes detailed annotation across 2D/3D data, collaboration with QA, and contributing to guideline improvements, with a focus on reliability and consistency in annotations.