Data annotation specialist
• Reviewed and validated content for quality and accuracy • Maintained consistency across multiple task batches
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I am an experienced data and analytics professional with a strong background in data annotation, validation, and quality assurance for AI training data. My recent work as a Data Annotation Specialist at Outlier AI involved reviewing and validating content to ensure high-quality, consistent results across multiple task batches. I have hands-on expertise in text and image labeling, data validation, and following detailed guidelines to support machine learning and AI initiatives. My technical skills span SQL, Python (including NLTK for NLP tasks), R, and various BI tools such as Tableau and Power BI. I have also contributed to AI working groups, implementing advanced analytics and automation solutions in enterprise environments. My approach emphasizes accuracy, attention to detail, and a deep understanding of data processes, making me well-suited for roles focused on building reliable AI training datasets.
• Reviewed and validated content for quality and accuracy • Maintained consistency across multiple task batches
Master of Science, Business Information Technology
Bachelor of Science with Honours, Information Technology
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