Volleyball Bounding-Box Image Labeler

About OpenTrain

OpenTrain is the #1 platform for building careers in AI training and data labeling. We hire and contract contributors to prepare the examples and annotations that teach modern AI systems.

About AI Training Work

AI training (also called data labeling or annotation) is the human side of building intelligent systems. Contributors label images and video, transcribe audio, rate model outputs, and more — work that is often fully remote, flexible, and accessible to people without prior experience.

• Work remotely from anywhere with an internet connection.
• Many projects are part-time and let you choose your hours.
• Entry-level tasks often require attention to detail rather than prior AI experience.

The Role

You will draw bounding boxes around the volleyball in images where the ball is in active play (rallies). Balls that are just lying on the court or not part of the rally should not be labeled.

This is a one-time, contract task with no ongoing commitment. The project uses CVAT for annotation.

• Data type: still images.
• Label type: bounding box.
• Annotation tool: CVAT.

What You'll Do

Carefully mark the volleyball in each image when it is part of a rally. The ball can be blurred or fast-moving — try to place the box as accurately as possible even when visibility is reduced.

• Identify volleyballs that are actively in play; ignore balls at rest.
• Draw precise bounding boxes around the ball in each applicable image.
• Follow project labeling rules and quality checks inside CVAT.

Requirements

This is an entry-level task: no prior labeling experience required. You should be comfortable using a browser-based annotation tool and have attention to visual detail.

• Access to a computer with a modern browser and reliable internet.
• Familiarity with image viewing and drawing tools (CVAT experience is helpful but not required).
• Ability to follow simple labeling rules and maintain consistent quality.

Compensation & Schedule

Pay is on a per-label basis at $0.04 USD per labeled image. This is paid according to OpenTrain's payment process for contractors.

Time commitment is flexible and under 20 hours per week. The job is a one-time project so there are no ongoing hours to maintain.

• Rate: $0.04 USD per label.
• Employment types: contractor, part-time.
• Open to contributors worldwide.

How It Works

Apply through OpenTrain to join the project. After a brief onboarding you will receive access to CVAT, the project's detailed labeling guidelines, and sample images to practice on.

Complete labeling tasks at your own pace within the project's timeframe. Your work will go through quality review and feedback so you can improve accuracy.

• One-time project with flexible scheduling.
• Onboarding includes guidelines and practice images.
• Quality checks and feedback provided during the project.

Who Should Apply

This project is ideal for people who want flexible, entry-level annotation work and enjoy sports imagery or visual tasks. No specialized domain knowledge is required.

• Entry-level contributors comfortable with visual detail.
• Anyone worldwide with the required equipment and internet access.