Data Annotator (México)

Data Annotator (México)

13 oct
|
YPAI
|
México

13 oct

YPAI

México

Paid work from home: label images, video, audio or text for AI training. It suits detail-minded people who are comfortable learning a new web tool for a project. Prior annotation experience is a plus, not a requirement.

What the work is for

Your labels become training data for AI models.

The work

- Label each item: boxes or outlines on images, tags on text, or segments of audio or video.
- Apply the project's label definitions consistently from the first item in a batch to the last.
- Raise cases the guideline does not cover instead of guessing.

What to expect

- Each project has its own label definitions, instructions and tool.
- You pass initial test tasks before working on project batches.
- Every batch goes through quality review.



Items that miss the acceptance criteria come back to you to fix.
- On some projects a model makes a first pass and you correct it.

You need

- Strong attention to detail and a reliable internet connection.
- Comfortable learning a new web-based tool when a project needs one.
- 18 years or older.

Good to know

- Some projects mix in check items with known answers, or give one item to several annotators, to measure accuracy.
- Work comes project by project, and there can be gaps between projects.

📌 Data Annotator (México)
🏢 YPAI
📍 México

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