In digital advertising, one misplaced ad can damage a brand in seconds. One leading media verification company helps platforms and businesses avoid that risk by using AI to ensure ads only appear alongside appropriate video content. But as volumes exploded and content became more nuanced, the company needed to train its AI to make faster, more accurate decisions to protect brand safety.
TaskUs stepped in to deliver an AI training data solution focused on precise data annotation, scale and trust. From custom training to robust QA frameworks, we helped the client boost model accuracy while protecting annotator well-being.
In this case study, you’ll learn:
- How we built a data pipeline tailored for sensitive and complex content
- The methods we used to train, coach and QA human reviewers
- How wellness programs helped reduce bias and improve accuracy
