AI Training & Data Annotation Specialist
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Supported AI model training by evaluating, annotating, and rating structured digital outputs according to detailed guidelines. Focused on identifying inconsistencies and providing analytical feedback to improve system accuracy. Ensured high quality and relevance of labeled data for use in AI and machine learning pipelines.
• Conducted structured evaluation of AI and web model outputs
• Labeled and categorized text-based and structured data
• Applied annotation standards and maintained documentation
• Collaborated on feedback to improve AI model performance
Supported AI model training by evaluating, annotating, and rating structured digital outputs according to detailed guidelines. Focused on identifying inconsistencies and providing analytical feedback to improve system accuracy. Ensured high quality and relevance of labeled data for use in AI and machine learning pipelines. • Conducted structured evaluation of AI and web model outputs • Labeled and categorized text-based and structured data • Applied annotation standards and maintained documentation • Collaborated on feedback to improve AI model performance
2022 - Present