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- India, Bangladesh
- Up to $2.50/hr
- Sep 24, 2026
In this hourly, remote contractor role, you will work as a Computer Vision QA Specialist to review image and video annotations for quality, accuracy, and guideline compliance.
- Remote (Global)
- Sep 7, 2026
As a Software Engineer in Test at CVAT.ai, you'll be a pivotal player in our drive to ensure the highest quality of our computer vision data platform. Your core responsibility will be to design, develop, and implement automated testing strategies and systems.
- Remote (Global)
- $35 – $55/hr
- Jun 29, 2026
You'll audit video annotation work submitted by other labelers — verifying that temporal labels, content tags, and moderation flags have been applied correctly and consistently.
- Remote (Global)
- Apr 6, 2026
As a Data Annotation Specialist at CVAT.ai, you will play an indispensable role in our mission to create comprehensive datasets for Computer Vision applications.
- Remote (Global)
- $20 – $30/hr
- Feb 16, 2026
We need annotators who can mark visual data accurately and efficiently. You will work through image queues, applying labels, bounding boxes, keypoints, or segmentation masks according to project-specific guidelines.
- Remote (Global)
- $35 – $50/hr
- Feb 8, 2026
We need annotators who can mark visual data accurately and efficiently. You will work through image queues, applying labels, bounding boxes, keypoints, or segmentation masks according to project-specific guidelines.
- Remote (Global)
- $65 – $85/hr
- Feb 4, 2026
Your work turns raw images into structured training data for vision models. On any given day you might label objects in street scenes, segment tumors in medical scans, or identify products on retail shelves.
- United States
- $20 – $35/hr
- Jan 31, 2026
This role is about precision marking. You will use our web-based annotation tool to identify and outline objects in images, classify their properties, and annotate spatial relationships.
- Remote (Global)
- Sep 5, 2025
We are looking for computer vision experts to help annotate images and videos for training advanced AI models. This role involves working with diverse visual content to create high-quality training datasets.
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