Read text in your own language and label what it means, paid and from home. It suits native or near-native speakers who are comfortable learning a new web tool. Annotation experience is a plus, not a requirement.

What the work is for

Your text labels train and test models that identify names, intent and sentiment.

The work

- Tag names of people, places and organisations, and link each one to the entity it refers to.
- Classify what a message asks for and the sentiment it carries, overall or about one aspect.
- Mark parts of the text and their relationships, as instructed.
- Raise cases the guideline does not cover.

What to expect

- Each project has its own guideline and label set, so the tasks change from one project to the next.




- You pass initial test tasks before working on project batches.
- Every batch is reviewed. Items that miss the acceptance criteria come back to you to fix.

You need

- Native or near-native command of the language you annotate.
- A reliable internet connection, and comfort learning a new web-based tool.
- 18 years or older.

Good to know

- Work depends on the projects running in your own language. There can be gaps between projects.
- Some projects give the same text to several annotators to measure how often they agree.

📌 Text and NLP Annotator (México)
🏢 YPAI
📍 México