Volleyball Bounding Box Labeling Specialist
Label volleyballs actively used in rallies for a sports analytics project. This one-time, entry-level contract uses CVAT, pays $0.04 per label, and is open worldwide.
Posted Nov 14, 2025
Label volleyball actions such as spikes, blocks, serves, sets, and receives in images using CVAT. This entry-level, worldwide contract role offers flexible work under 20 hours per week and pays $0.03 per label.
Image & Video Annotation
$0.03/label
Compensation
Worldwide
Eligibility
Entry
Experience
Nov 16, 2025
Posted
Open worldwide
OpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping people discover flexible projects and begin contributing to the technology behind modern AI.
AI training is the human side of building artificial intelligence. People prepare examples that help computer vision systems understand images and visual events, including the actions taking place during sports.
As a Volleyball Action Annotation Specialist, you will label actions shown during volleyball games. The work focuses on image annotation with bounding boxes in CVAT, identifying the specified volleyball actions accurately and consistently.
The listed actions are spike, block, serve, set, and receive. Additional examples will be provided by the role owner.
Review volleyball game images and apply the appropriate action labels. Use bounding boxes to annotate the relevant visual content according to the project instructions and examples.
This is an entry-level, part-time contractor opportunity open worldwide. The expected time commitment is less than 20 hours per week, and the role requires English-language work in CVAT.
AI training and data labeling are part of a fast-growing technology industry. Flexible projects can fit around studies, another job, or family commitments, while giving contributors a direct role in shaping how AI systems interpret the world.
Create a free OpenTrain account and apply through OpenTrain. Review the project information, confirm that the flexible schedule and labeling tasks suit you, and submit your application in minutes.
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