Data Labeler & Quality Reviewer (Remote) — Scale AI / Remotasks
Performed quality assurance reviews of peer-labeled datasets to detect inconsistencies and reduce labeling errors. Flagged issues for correction and applied feedback to improve dataset accuracy by up to 15%. Ensured final outputs met labeling standards and client specifications. • Reviewed peer annotations for agreement and rule compliance • Flagged inconsistencies and quality defects • Supported improved accuracy and consistency across datasets • Helped prepare eligible datasets for downstream use