
Data Annotation Analyst
Appen
WorldwideFully remoteFull TimeEntry LevelInformation Technology
Posted 3 hours ago3h agoApply link checked 3 hours ago
Why we think you can apply
- Hiring model
- Open worldwide · the employer states no country restriction
- Work from
- Anywhere, the UAE included
Posted 3 hours ago · apply link checked 3 hours ago
About the role
Responsibilities
- Annotate 2D and 3D objects across images, video, and LiDAR point clouds, including vehicles, machinery, and environmental features
- Create and maintain accurate segmentation, object tracking, pose, and keypoint annotations
- Apply detailed annotation guidelines, including class definitions and occlusion rules
- Review work, respond to QA feedback, and maintain quality standards
- Identify and escalate ambiguous scenes, sensor artifacts, and tooling issues
- Document data quality issues with clear reproduction steps
- Participate in calibration sessions and guideline reviews
Requirements
- Strong attention to detail for repetitive, visually intensive work
- Strong spatial reasoning skills to interpret 3D environments
- Ability to learn complex, purpose-built software and keyboard shortcuts
- Experience working in fast-paced environments with defined accuracy targets
- Experience with image annotation GenAI workflows
- Reliable high-speed internet and a distraction-free workspace
Preferred Qualifications
- Associate or bachelor's degree
- Experience with image, video, LiDAR, or 3D annotation tools
- Experience with subsurface utility engineering (SUE), construction surveying, or GIS
- Experience with AutoCAD or similar tools
- Experience in construction, mining, agriculture, or heavy equipment environments
- Familiarity with point cloud data, sensor fusion, or camera-LiDAR calibration
- Experience with autonomous vehicles, robotics, or machine perception datasets
What we look for
- Strong attention to detail
- Spatial reasoning skills
- Ability to navigate complex software
- Experience in scaled environments with productivity targets
- Experience with GenAI image annotation workflows
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