Alexei Vinas

Data Labelling Analyst Iii @Meta

US

Develop high-quality training data for foundational AI models by producing nuanced, human-like written and spoken responses across a variety of prompts and domains- Become a subject matter expert in labeling workflows, consistently applying complex guidelines to ensure annotation accuracy and contributing to iterative improvements in data quality processes- Collaborate with cross-functional teams in weekly reviews to identify quality and technical barriers, recommending optimizations that enhanced labeling efficiency and model alignment.

University of South Florida

Bachelor of Science - BS

Archimedean Upper Conservatory

High School Diploma