Now Available: How to Build an AI Training Team in the Age of GenAI

Now Available: How to Build an AI Training Team in the Age of GenAI

New content from HireArt compiles best practices for building and managing AI training teams for GenAI

Historically, AI training has mostly been done overseas by freelancers handling simple Computer Vision (CV) tasks. This method works well for CV because it's easy to check the quality, and mistakes are hard to make.

For Generative Artificial Intelligence (GenAI), where evaluating the quality is more complex and accuracy is vital, this approach doesn’t work as well. GenAI projects need workers with deeper commitment and expertise, as well as the right setup for teams to work closely together.

This content explains how to build and structure a data labeling team for GenAI, touching on important steps in transitioning into more specialized and flexible team setups that meet modern challenges.

In this content, you will learn:

  • When to use W2 vs. 1099 workers
    The nature of GenAI work is changing rapidly. Learn when companies are deploying W2 contractors instead of 1099s.
  • How to Assess AI Trainers
    Training AI now requires a range of unique skill-sets and expertise. Learn best practices for a structured, work sample-based assessment process.
  • How to Build Optimal Team Structures
    Learn how companies are structuring human data teams to ensure high quality data is generated and workers receive support and feedback on their work.

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