Adeline Giovanni

Rate and rank AI model responses on quality and helpfulness after completing Outlier’s data annotation qualification process. Write structured comparative rationales for each evaluation, focusing on accuracy, usefulness, and overall response quality.

Rate and rank AI model responses for accuracy, quality, and safety across general knowledge and reasoning tasks using structured evaluation criteria. Verify claims and outputs against authoritative sources and maintain consistent accuracy with documentation standards across high-volume evaluation work.

Built competitive intelligence briefs across 10 caregiver training providers by synthesizing business models, pricing strategies, and market positioning to close a market visibility gap. Led market sizing and opportunity assessment across Japan and Southeast Asia using primary and secondary research, contributing to an estimated ~30% increase in the project pipeline. Redesigned operational workflows and created a standardized candidate presentation system as English–Japanese liaison, reducing communication cycle time by ~50% while improving data accuracy. Standardized end-to-end processes for a newly formed business unit using process maps and requirements documentation, enabling expansion from 7 to 8 job categories.