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Data Annotation

Turn content into structured AI training data. Our teams annotate sentiment and intent, tag products and content, and support preference annotation, RLHF and model evaluation using agreed guidelines.

What we can help with

  • Sentiment & intent
  • RLHF & evaluation
  • Content tagging

When to choose this service

Preparing labeled training data, evaluating model responses or collecting human preferences for your AI workflow.

What you receive

Labels, preference judgments or evaluation records in the agreed structure, such as a spreadsheet or JSON file where appropriate, with task guidelines and review notes.

Plan your project

Start with a clear brief. We work with you to define the scope, review criteria and handover.

Scope & language

Tell us the task, target languages or dialects, volume and timeline. Availability is confirmed for your project.

Review & acceptance

Share examples and acceptance criteria. We agree the review approach and how questions and corrections will be handled.

Delivery & use

Specify the output format and intended use. For recording projects, include voice usage and participant consent requirements in the brief.

Let’s work together

Start with your brief.
Define the work together.

Tell us what you need to translate, annotate, record or review. We will clarify the scope and delivery requirements with you.

contact@avantlingua.com
Phone number (optional)

Include your languages, approximate volume, preferred format and deadline. A short outline is enough to start.

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