Data Quality Analyst — Ibotta, Inc. (AI training dataset review, annotation, and QA)
Reviewed and validated large-scale AI training datasets to ensure accuracy, consistency, and adherence to quality standards for downstream model performance. Performed data annotation alongside prompt evaluation and content review to identify issues and improve machine learning outputs. Used Python and SQL for data cleaning, error detection, and reporting that supported continuous workflow improvements. • Validated dataset quality and compliance requirements • Conducted prompt and content evaluation as part of AI output review • Annotated training data to strengthen model reliability • Produced reports on errors and trends to drive process improvements