Data Quality Reviewer – Crowd-Based Platforms
Serving as a Data Quality Reviewer on crowd-based platforms, I reviewed labeled datasets to ensure alignment with project guidelines. My responsibilities included flagging and correcting errors, which improved overall dataset quality for AI training. I independently maintained high productivity and accuracy throughout all assigned projects. • Reviewed and validated dataset annotations • Flagged inconsistencies and ensured data integrity • Corrected errors to enhance dataset quality • Contributed to quality assurance in AI training data pipelines