Human data collection for AI

How to strengthen RLHF with high-quality human feedback

The most advanced AI models are only as good as the human feedback they’re trained on. Reinforcement Learning from Human Feedback (RLHF) depends on input that is accurate, diverse, and contextually grounded—but sourcing this data at scale from the right people is one of the most complicated challenges AI teams face.

Our guide to human data collection shows you how leading organizations use Prolific to access domain experts, design smarter tasks, and optimize feedback loops that improve both model safety and performance. You’ll discover proven strategies to make your training and evaluation cycles faster, more efficient, and more reliable.