Data Annotation Specialist — Outlier AI (Remote)
Annotated and validated large-scale datasets to support machine learning and NLP model training while following detailed annotation guidelines. Reviewed outputs to detect inconsistencies, edge cases, and labeling errors, then incorporated feedback to improve dataset quality. Maintained consistent performance and accuracy while meeting daily and weekly targets under strict deadlines. • Followed complex project-specific annotation guidelines • Performed quality checks and error detection on labeled data • Corrected and refined labels based on continuous feedback • Worked independently in a remote environment with team communication