Amanda Limpic
@amandalimpic
I improve AI training data accuracy through high-volume annotation, structured data organization, and quality assurance.
What I'm looking for
At Meta, I annotated and categorized large volumes of data for AI training projects, transforming unstructured information into structured formats that improved data usability.
I used annotation tools and detailed project guidelines to maintain consistency, accuracy, and quality across tasks. I also flagged ambiguities, errors, and inconsistencies for review, helping create cleaner datasets and more reliable model inputs.
I led QA efforts to refine annotation guidelines and workflows, increasing consistency across the team. I’m ready to bring my organized, detail-focused approach and strong written communication to an AI training support role.
Experience
Work history, roles, and key accomplishments
Annotated and categorized large volumes of data according to detailed project guidelines. Incorporated unstructured information into structured formats and flagged inconsistencies to improve data quality.
Education
Degrees, certifications, and relevant coursework
Amanda hasn't added their education
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