3D & LiDAR Data Annotation Analyst

About the role

The Data Annotation Analyst will create high-quality ground-truth datasets to train and validate perception models for autonomous and operator-assisted machines. You will work with camera imagery, video, and LiDAR point clouds to create precise labels while adhering to detailed specifications. The role requires balancing accuracy, consistency, and production volume within specialized annotation tools.

Responsibilities

• Annotate 2D and 3D objects across images, video, and LiDAR point clouds, including vehicles, machinery, people, signage, and environmental features.
• Create and maintain accurate segmentation, object tracking, pose, and keypoint annotations across sequences.
• Apply detailed annotation guidelines, including class definitions, occlusion rules, object thresholds, and inclusion/exclusion criteria.
• Review your work, respond to QA feedback, and maintain established quality and accuracy standards.
• Identify and escalate ambiguous scenes, sensor artifacts, tooling issues, and gaps in specifications.
• Document data quality and tooling issues with clear details and reproduction steps.
• Participate in calibration sessions, guideline reviews, and team standups to maintain consistent interpretations.

Required skills

• Data annotation
• LiDAR
• Spatial reasoning
• Image annotation
• GenAI workflows

Nice to have

• AutoCAD
• GIS
• Subsurface utility engineering
• Construction surveying
• Sensor fusion
• Machine perception

Qualifications

• Associate or bachelor’s degree

About the Company

Appen has been a leader in AI training data for over 30 years. They specialise in human generated data to train, fine tune, and evaluate models across generative AI, large language models, computer vision, and speech recognition.