Hidden Workforce Behind AI Evolution

AI development involves millions of workers who help train models by labeling data, like tagging objects in images or labeling words in audio recordings.

This work is often outsourced to poorer countries.

As AI technology advances, the need for basic annotation work is decreasing, but new roles for highly educated workers are emerging.

These workers help evaluate and improve AI outputs, ensuring they are safe and ethical.

While there is excitement about AI learning independently, human input remains crucial for complex tasks.

The diversity of the workforce also impacts the language and skills transferred to AI models.