Mohammad Alenezi is an experienced Data Labeling Analyst with a strong background in reviewing, categorizing, and annotating data across various platforms. At TikTok, Mohammad generated reports and dashboards to deliver insights on content trends and user behavior. Previously, at Apple, precise annotation of 2D map imagery was conducted, addressing deficiencies in data across 600 cities. At Meta, responsibilities included data cleaning and content evaluation to ensure relevance to current trends. In a role at Microsoft, work focused on evaluating AI-generated responses and verifying the accuracy of team outputs. Earlier experience at Google involved quality monitoring and training new analysts in content review.
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