Content Moderator
This project involved reviewing various forms of content, identifying and flagging inappropriate content, maintaining a consistent standard of quality and correcting grammar mistakes.
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I have over five years of hands-on experience in data labeling and AI training data, primarily gained through my work at Samasource Kenya. In this role, I was responsible for annotating large-scale datasets according to strict client specifications, classifying products, conducting web research, and ensuring data quality through verification and correction. My work contributed directly to the development of AI and machine learning models by maintaining high annotation accuracy and meeting rigorous quality thresholds. I am adept at using various data annotation tools and techniques, including image tagging, text categorization, and data validation. What sets me apart is my strong academic foundation in mathematics, with proficiency in programming languages such as Python and C++, and statistical tools like SPSS and R. This background enables me to approach annotation with a structured, analytical mindset. I also completed professional training in digital literacy, artificial intelligence, and virtual assistance, equipping me with both technical skills and a strong understanding of AI concepts, ethics, and data privacy—critical for producing reliable training data.
This project involved reviewing various forms of content, identifying and flagging inappropriate content, maintaining a consistent standard of quality and correcting grammar mistakes.
This project involved drawing masks, bounding box or a polygons on vehicles depending on the queue, and then classifying the vehicles whether sedan, hatchback, SUV and et cetera, the orientation of the vehicles and if the vehicles had special features like a roof rack. There was no room for errors only 100% score was accepted.
Bachelor of Science, Mathematics
AI Data Annotator and Content Moderator
Enumerator