Label objects and actions in video, frame by frame, as paid work from home. It suits people who stay focused on precise, repetitive work. Prior annotation experience is a plus, not a requirement.

What the work is for

Labelled video teaches models to follow objects and recognise actions and events as they unfold over time.

The work

- Track objects through a clip. Set boxes on selected frames and correct the boxes the tool adds between them.
- Mark the frames where a tracked object is hidden or leaves the picture.
- Split clips into segments and label the action or event in each one.
- Raise clips the guideline does not cover instead of guessing.

What to expect

- Each project has its own guideline, label set and tool, for example CVAT run on YPAI's own servers.




- You pass initial test tasks before working on project batches.
- Every batch is reviewed. Clips that miss the acceptance criteria come back to you to fix.
- On some projects a tracking model proposes the boxes and you correct them.

What you bring

- A reliable internet connection.

You need

- Strong attention to detail, held from the first frame to the last.
- Comfortable learning a new web-based tool when a project needs one.
- 18 years or older.

Good to know

- Frame-by-frame work is repetitive and needs steady concentration.
- Work comes project by project, and there can be gaps between projects.

📌 Video Annotator (México)
🏢 YPAI
📍 México