Image Segmentation Annotator
Join a remote, entry-level image annotation project labeling one target class per image with polygon segmentation in CVAT. Use Segment Anything when helpful, then manually correct results for accuracy.
Image & Video Annotation
$0.04/label
Compensation
Worldwide
Eligibility
Entry
Experience
Aug 25, 2025
Posted
Open worldwide
About OpenTrain
OpenTrain AI is the hiring and contracting organization for this remote opportunity. OpenTrain helps people start and grow careers in AI training and data labeling, where human contributors prepare the examples modern AI systems learn from.
- Remote contractor opportunity
- Worldwide participation
- Free OpenTrain account and application
About AI Training and Image Annotation
AI training is the human side of building artificial intelligence. In image annotation work, contributors mark visual data so computer vision systems can learn to identify and understand objects. This fast-growing field offers flexible ways to contribute to cutting-edge technology from anywhere.
- Help prepare visual examples for AI systems
- Work remotely with an internet-connected computer
- Build experience in data labeling and computer vision workflows
The Role
As an Image Segmentation Annotator, you will create accurate polygon annotations for one target class in each image. The project currently includes approximately 18,000 images and continues to grow as new data is added, so labeling follows a continuous workflow.
Annotations are completed in a hosted CVAT instance. Segment Anything may be used to assist with the initial segmentation, but each result must be manually corrected as needed to ensure accurate boundaries.
- Role type: Contractor
- Experience level: Entry level
- Language: English
- Pay: $0.04 per label
- Dataset: Approximately 18,000 images and growing
What You'll Do
You will review each assigned image, identify the target class, and produce a precise segmentation using polygon annotation. The work requires careful visual review and consistent application of the labeling task across the dataset.
- Segment one target class per image
- Create polygon annotations in CVAT
- Use Segment Anything when useful
- Manually correct automated segmentation results
- Continue labeling as new images are added
Requirements
This is an entry-level project with no additional requirements listed. You should be able to complete image-based polygon annotations in the provided CVAT environment and follow the task instructions accurately.
- English language ability
- Ability to perform accurate image segmentation
- Willingness to use CVAT
- Careful attention to annotation boundaries
How It Works
OpenTrain AI contracts contributors for projects that help build AI systems. For this opportunity, payment is based on completed labels at the listed per-label rate. Apply through OpenTrain to begin the process for this remote project.
- Apply through OpenTrain
- Complete labeling in the hosted CVAT instance
- Earn $0.04 for each label
- Contribute to a continuously expanding image dataset
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