Data Annotation Analyst
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Job Description
Data Annotation Analyst creating precise imagery, video, and LiDAR labels for Appen’s AI training datasets. Supporting autonomous-machine perception through accurate segmentation, tracking, and object annotations.
Responsibilities:
- Annotate 2D and 3D objects across images, video, and LiDAR point clouds, including vehicles, machinery, people, signage, and environmental features
- Create and maintain segmentation, object tracking, pose, and keypoint annotations across sequences
- Apply annotation guidelines covering class definitions, occlusion rules, object thresholds, and inclusion/exclusion criteria
- Review work, respond to QA feedback, and maintain quality and accuracy standards
- Identify and escalate ambiguous scenes, sensor artifacts, tooling issues, and specification gaps
- Document data quality and tooling issues with clear details and reproduction steps
- Participate in calibration sessions, guideline reviews, and team standups
- Share observations to improve annotation guidelines, taxonomies, and edge-case documentation
- Produce accurate, consistent annotations at the expected volume while maintaining reliable datasets
Requirements:
- Strong attention to detail and ability to maintain accuracy during repetitive, visually intensive work
- Strong spatial reasoning skills, including interpreting 3D environments and understanding object size, position, and orientation
- Ability to learn and navigate complex purpose-built software, keyboard shortcuts, and 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
- Distraction-free workspace
- Ability to work on a company-provisioned machine within a controlled environment
- Experience with image, video, LiDAR, or 3D annotation tools
- Experience with subsurface utility engineering, construction surveying, surveying, GIS, or spatial interpretation of physical environments
- Experience with AutoCAD or similar tools
- Experience in construction, mining, agriculture, industrial operations, or heavy equipment environments
- Familiarity with point cloud data, sensor fusion, or camera-LiDAR calibration
- Experience with autonomous vehicles, robotics, or machine perception datasets
Benefits:
- Flexible work arrangements
- Tools, resources and development opportunities
- Reliable high-speed internet requirement
- Company-provisioned machine
- Controlled work environment
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