Carrie Liang

Data Labeling Analyst Ii Meta @Magnit Global

NY, US

Executed precise data annotations adhering to project-specific guidelines, achieving productivity benchmarks by completing up to 40 annotations per hour or 75 daily, depending on project complexity.• Attended project training and Q&A sessions, enhancing understanding and application of guidelines to improve AI model accuracy in areas like safety, response preference, and object identification.• Leveraged linguistic knowledge from a minor in linguistics to ensure data annotations align with evolving language use, enhancing the human-like quality of AI responses.• Navigated the Single Review Tool (SRT) for efficient data annotation, rapidly adapting to new project guidelines, which enhanced productivity from 10 to 40 tasks per hour.

COOP Careers Fellowship

Data Analytics

Georgia Institute of Technology

Master of Science, Analytics

University of Michigan

Bachelor of Science - BS, Biopsychology, Cognition, and Neuroscience