AI Data Contributor & Research Participant
Participated in multi-hour user interaction tracking studies contributing behavioral data used to optimize AI-driven media recommendation engines. Logged structured qualitative and quantitative dataset entries aligned with comprehensive research benchmarks. Provided structured evaluation feedback through remote collaboration to improve AI pipelines. • Captured behavioral and interaction signals related to social media algorithm dynamics. • Entered and reviewed dataset records to ensure benchmark compliance. • Delivered evaluation feedback used to tune recommendation engines. • Coordinated remotely with research participants and stakeholders.