QA Reviewer
Quality
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AI Data Annotation Specialist (Freelance Projects). Core strengths include Labelbox, SuperAnnotate, and Label Studio. Education includes Bachelor of Science, Chhatrapati Shahu Ji Maharaj University, Kanpur (2025). AI-training focus includes data types such as Document and labeling workflows including Classification and Bounding Box.
Quality
As a Data Annotation Intern, I annotated documents using bounding boxes and performed classification for structured data extraction. My tasks included transcription, correcting OCR inaccuracies, and organizing tabular financial data. I validated numeric fields and followed detailed annotation workflows to ensure dataset quality. • Utilized Label Studio for annotation and dataset management • Identified document sections like headers, totals, and line items • Ensured accuracy in document structure and reading order • Focused on data consistency and high-quality outputs
worked on finance datasets
As an AI Data Annotation Coordinator, I performed quality review on complex financial document datasets. I verified relationships between structured fields and detected OCR as well as labeling errors. My efforts improved dataset quality and enforced consistent formatting across all projects. • Used SuperAnnotate for quality control and validation • Checked table structures and multi-line entries for labeling accuracy • Ensured reading order and structural consistency in annotated datasets • Monitored and enhanced annotation standards and guideline compliance
Bachelor of Science, Science
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