How to Build a Scalable Data-Annotation Strategy

On finding the right tool, hiring or outsourcing annotators, and ML-assisted annotation

Alexandre Gonfalonieri
Towards Data Science
8 min readDec 14, 2021

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Photo by Tom Wilson on Unsplash

As you may know, data science teams spend about 80% of their time creating and managing training data. The usual issues are often related to poor in-house tooling, labeling re-work, finding the needed data, and the difficulties…

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