Volleyball Action Image Labeler

About OpenTrain AI

OpenTrain is the #1 platform for people building careers in AI training and data labeling. We connect contributors with paid, remote projects that help teach AI systems how to understand the world.

OpenTrain AI is the hiring and contracting organization for this role. Creating an OpenTrain account is free and is how you’ll apply, track work, and get paid.

About AI training and why this work matters

AI training (data labeling/annotation) is the human work behind modern AI: people prepare and review examples that models learn from. This project lets you directly shape how vision systems understand sports actions.

These roles are often flexible, remote, and accessible to newcomers — a practical way to earn, build skills, and contribute to cutting-edge AI projects.

  • 100% remote: work from anywhere with a computer or phone and internet connection.
  • Flexible, part-time work: fit tasks around your schedule (this project is under 20 hours/week).
  • Entry-level friendly: prior labeling experience is not required; examples and guidance will be provided.

The role

You will label volleyball actions in images by drawing bounding boxes around players and assigning one of five action labels. This is contractor, part-time work paid per label at $0.03.

Work is performed in CVAT (labeling software). The project accepts contributors worldwide and is suitable for entry-level annotators.

  • Task: Image annotation (bounding boxes) of volleyball actions.
  • Actions to label: Spike, Block, Serve, Set, Receive.
  • Labeling software: CVAT.
  • Pay model: Pay-per-label at $0.03 per labeled item.
  • Time commitment: Less than 20 hours/week (flexible).
  • Employment type: Contractor, Part-time.
  • Worldwide: Open to contributors from any country.
  • Experience level: Entry level; examples and guidelines will be supplied.

What you'll do day-to-day

Follow labeling guidelines and examples to consistently mark players and their actions using bounding boxes in CVAT. Focus on accuracy and consistent label application.

  • Open assigned image tasks in CVAT and draw bounding boxes around players performing actions.
  • Assign the correct action label: Spike, Block, Serve, Set, or Receive.
  • Use provided examples and written guidelines to resolve ambiguous frames.
  • Complete tasks efficiently while maintaining annotation quality.

Requirements

This project is entry level but requires reliability and attention to detail. You’ll need a basic computer or phone with internet access and the ability to learn CVAT from provided instructions.

  • Entry-level: no prior labeling experience required.
  • Reliable internet and access to a computer or device capable of running CVAT.
  • Ability to read and follow written labeling guidelines and examples.
  • Comfort working independently as a part-time contractor.

How applying and work flow works

Create a free OpenTrain account, complete your profile, and apply to this project. If accepted, you’ll receive access to CVAT tasks, examples, and labeling guidelines.

You will be paid per label at the stated rate; payment and task details will be managed through OpenTrain.

  • Sign up on OpenTrain, complete your profile, and submit your application to this project.
  • Review onboarding materials and example annotations provided by the requester.
  • Start accepting CVAT tasks and submit completed labels for payment at $0.03 each.
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