Document & Entity Verification
Performed manual verification of document-based information by cross-checking multiple sources. Labeled verified fields, documented assumptions, and flagged uncertainty to ensure auditability and consistency.
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I have hands-on experience contributing to AI training and data quality work that requires strong attention to detail, consistency, and clear judgment. My experience includes text evaluation, transcription, data classification, fact-checking, and structured annotation tasks, where following detailed guidelines and maintaining accuracy were critical. I bring strong analytical thinking, advanced English proficiency, and the ability to quickly understand new annotation frameworks and internal tools. I’m comfortable working with large text and audio datasets, documenting reasoning, handling ambiguity carefully, and maintaining quality over sustained workloads. My background in content analysis, research support, and manual verification allows me to produce reliable annotations that support high-quality AI training data.
Performed manual verification of document-based information by cross-checking multiple sources. Labeled verified fields, documented assumptions, and flagged uncertainty to ensure auditability and consistency.
Reviewed and evaluated text and AI-generated content for accuracy, clarity, and guideline compliance. Applied structured labels, identified errors or ambiguities, and documented reasoning to support data quality improvements.
Transcribed short English audio clips into clean, standardized text. Removed disfluencies, corrected grammar without changing meaning, and followed strict formatting guidelines for training-quality datasets.
Bachelor of Science, Marketing
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