Note: The job is a remote job and is open to candidates in USA. Appen is an AI training data company specializing in human-generated data for training and evaluating artificial intelligence models. The Data Annotation Analyst will create accurate 2D and 3D annotations for imagery, video, and LiDAR point clouds, while following detailed guidelines, reviewing quality, documenting issues, and supporting consistent dataset development.
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 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
Skills
- 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
- 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
Benefits
- Hourly work commitment
- Remote work
- Flexibility to deliver in a way that works for you and your team
- Tools, resources and development opportunities to continue to build your capability over time
Company Overview