AI Data Labeler Assessment Checklist

A guide to identifying the best candidates for data annotator roles

When hiring for a data annotation team, there's little time to train or replace workers. It's important to present candidates who can do the job well and understand what's needed. To ensure this, we suggest a three-step vetting process: start with reviewing the resume and work samples, followed by a two-part skill assessment. This checklist covers the steps.

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