Annotation quality review and feedback for AI training datasets
I perform data quality review for AI training datasets by auditing other annotators’ work and fixing inconsistencies. I ensure the dataset remains clean and usable for downstream model training by following the same detailed labeling standards. I provide feedback to improve overall annotation reliability and guideline compliance. • Reviewing and auditing peer annotations • Fixing inconsistent labels and errors • Giving feedback to maintain guideline accuracy • Ensuring dataset cleanliness for training