Mid-Level AI Data Annotator
Open to offersNew to PlatformMoses N. is an experienced AI Data Annotator and Quality Reviewer with over nine years in data processing across technology, healthcare, education, and business services sectors. At organizations such as iMerit Technology, Atlas Capture, and RWS Group, Moses has evaluated AI-generated images and video, performed data annotation—including dense, coarse, and egocentric labeling—and executed quality assessment of visual and textual data to refine AI model accuracy. Previously, at Studypool, Moses applied data analysis and research in academic and technical writing projects, combining proofreading and editing with financial statement analysis to produce actionable reports. His background also includes roles in healthcare billing and administrative finance where he processed and analyzed medical and transactional data. Moses holds a BSc in Accountancy with First Class Honors and is a CPA finalist recognized for top national performance.
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