Data annotation specialist at Mercor AI
Implemented a quality assurance framework to improve the consistency and reliability of labeled data for AI-driven outputs. Evaluated and ranked AI outputs for clarity and accuracy using structured comparisons to support model improvements. Applied SEO strategies to increase visibility and audience reach while supporting annotated data goals. • Performed data annotation quality assurance checks and reliability improvements. • Conducted AI output evaluation and ranking based on predefined criteria. • Used structured comparison approaches to quantify and improve model performance. • Supported downstream visibility goals through SEO strategy application.