Data Annotator at Veeve

This role involves data annotation tasks to support AI image recognition models for retail execution analytics. It is a non-technical, entry-level position focused on labeling and preparing data for machine learning.

This role involves creating precise 2D and 3D annotations on camera imagery, video, and LiDAR point clouds to build ground-truth datasets for training perception models. The analyst applies detailed guidelines for segmentation, object tracking, pose, and keypoints while maintaining quality and production volume.

This Associate role involves data annotation or operational support for AI training data, contributing to the development of machine learning models. The position requires attention to detail and the ability to follow guidelines, though specific technologies are not detailed.

Internship role focused on creating and maintaining annotation guidelines for training data, likely for AI/computer vision models. Involves documentation and quality assurance of data labeling processes.

This role supports technical operations for Veeve's US operations, involving troubleshooting, system monitoring, and coordination with engineering teams to ensure system reliability and performance. The position is based in Seattle and is full-time.

This senior engineering role involves designing and architecting software for Veeve's computer vision-based retail platform. The position likely requires expertise in full-stack development, system architecture, and possibly computer vision integration.

This role combines store deployment strategy with senior full-stack engineering responsibilities, likely involving both on-site deployment coordination and software development. The position is based in Seattle or remote.