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Image Annotator

Applications open

Label objects in images for AI training, as paid work from home. It suits detail-minded people who are comfortable learning a new web-based tool. Prior annotation experience is a plus, not a requirement.

Remote, Colombia · Freelance

What the work is for

Labelled images train computer-vision models: the systems that detect, outline and classify what a camera sees.

The work

  • Draw boxes and polygons around listed objects. Assign each object's class using the instructions.
  • Paint segmentation masks where the project needs exact outlines, pixel by pixel.
  • Place keypoints where the project defines points on a person or object.
  • Raise images the guideline does not cover instead of guessing.

What to expect

  • Each project has its own label definitions, instructions and tool, such as CVAT on YPAI's servers.
  • You pass initial test tasks before working on project batches.
  • Every batch is reviewed. Images that miss the acceptance criteria come back to you to fix.
  • On some projects a model draws a first outline 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 images with known answers, or give one image to several annotators, to measure accuracy.
  • Work comes project by project, and there can be gaps between projects.

Our team reviews applications for this role and contacts selected applicants by email.

Apply

Takes a couple of minutes. No CV needed.

Payment
Via PayPal, Wise, or bank transfer
When you are paid
Paid every two weeks after approved work.
Fees to you
Never, at any stage. If someone asks, it is not us
Who hires you
YPAI, a registered Norwegian company that collects and annotates data for AI
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