Join CloudResearch in this session to learn:
Why data quality, not data volume, is becoming the defining challenge in human-in-the-loop AI What separates research-grade human evaluation from commodity labeling — and why it matters for anyone shipping AI How quality in human-in-the-loop data connects training, evaluation, and emerging AI governance requirementsCharles Jamerlan
VP Product and Platform Growth - Connect
CloudResearch
Charles Jamerlan is the Product Lead for Connect at CloudResearch, where he helps drive the development of tools that enable researchers to collect high-quality human data at scale. With a background in software engineering and product leadership, Charles works closely on innovations related to participant recruitment, workflow optimization, data quality, and AI-era research infrastructure. Charles has played a key role in advancing the Connect platform and supporting researchers across academia, market research, and AI training applications. He has also led webinars and educational initiatives focused on improving research workflows and participant management.