3D & LiDAR Data Annotation Analyst

Appen Limited; United States; Remote; USD 42,000 - 66,000; Full time

Job summary

Appen Limited seeks a Data Annotation Analyst to label camera imagery, video, and LiDAR data for autonomous perception systems. You will work with specialized annotation tools, following detailed specs while balancing accuracy with production volume.

You will annotate 2D/3D objects, maintain segmentation and tracking, and apply guidelines. You’ll review QA feedback, document issues, and participate in calibration sessions to ensure consistent interpretations.

Qualifications

• Strong attention to detail and accuracy in repetitive visual tasks.
• Ability to interpret 3D environments and object dimensions.
• Experience with image annotation GenAI workflows.
• Experience in fast-paced, scalable environments with targets.
• Experience with 2D/3D annotation tools.

Responsibilities

• Annotate 2D and 3D objects across images, video, and LiDAR point clouds.
• Create and maintain segmentation, object tracking, pose, and keypoints annotations.
• Apply detailed annotation guidelines including definitions and rules.
• Review work, respond to QA feedback, maintain quality standards.
• Document data quality issues with clear reproduction steps.
• Participate in calibration sessions and guideline reviews.
• Share observations to improve guidelines and edge-case docs.

Skills

Attention to detail

Spatial reasoning

Software navigation

GenAI workflows

Productivity targets

Fast-paced environment

Education

Associate or bachelor’s degree

Tools

Annotation tools

3D annotation tools

Object tracking tooling

Job description

About the Role

We’re building high-quality ground-truth datasets used to train and validate perception models for autonomous and operator-assisted machines working in complex, real-world environments.

As a Data Annotation Analyst, you’ll work with camera imagery, video, and LiDAR point clouds to create precise labels that help perception systems understand objects, people, terrain, and surrounding environments. You’ll work in specialized annotation tools, following detailed specifications while balancing accuracy, consistency, and production volume.

Your Impact

• 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 elevate ambiguous scenes, sensor artifacts, tooling issues, and gaps in specifications rather than making assumptions.
• 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.
• Share observations that help improve annotation guidelines, taxonomies, and edge‑case documentation.

Success in this role means producing accurate, consistent annotations at the expected volume while helping maintain a reliable, high-quality dataset.

What You Bring

• Strong attention to detail and the ability to maintain accuracy while performing repetitive, visually intensive work for extended periods.
• Strong spatial reasoning skills, including the ability to interpret 3D environments and understand object size, position, and orientation.
• Ability to learn and navigate complex, purpose-built software and become productive with keyboard shortcuts and other tooling features.
• Experience working in a fast-paced, scaled environment with defined productivity, quality, or accuracy targets.
• Experience with image annotation GenAI workflows
• Reliable high-speed internet, a distraction-free workspace, and the ability to work on a company-provisioned machine within a controlled environment.

Nice to Haves

• Associate or bachelor’s degree.
• Experience with image, video, LiDAR, or 3D annotation tools.
• Experience with subsurface utility engineering (SUE), construction surveying, surveying, GIS, or other work involving spatial interpretation of physical environments.
• Experience with AutoCAD or similar type tools
• Experience in construction, mining, agriculture, industrial operations, or heavy equipment environments.
• Familiarity with point cloud data, sensor fusion, or camera-LiDAR calibration.
• Experience working with autonomous vehicles, robotics, or machine perception datasets.

Compensati