Freelance Data Labeler | Appen / Scale AI / Clickworker
As a Freelance Data Labeler, I specialized in labeling and annotating large volumes of text prompts for preference modeling and reinforcement learning from human feedback. I maintained a 98.4% inter-rater agreement and consistently exceeded quality and throughput benchmarks in technical model training. My responsibilities involved complex linguistic judgments, edge-case flagging, and rapid adaptation to varied annotation guidelines. • Labeled over 12,000 text prompts using multiple annotation styles and guidelines. • Developed efficient shorthand processes for ambiguity and error flagging, reducing team review times. • Achieved a weekly high throughput of 1,500+ classified tasks with a sustained audit pass rate above 97%. • Mastered and adapted to three distinct technical annotation guidelines with zero recurring violations after initial calibration.