Naftali Mafyisi

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Freelancer Overview

I am a detail-oriented data analyst with hands-on experience in data annotation, validation, and AI training workflows. My background includes supporting AI model development through accurate data labeling, quality control, and structured information extraction using tools like Microsoft Copilot, ChatGPT, and Google Gemini. I have contributed to large-scale projects such as national census data collection and have performed compliance-driven audits, ensuring high data integrity and adherence to strict guidelines. My technical skills span Python, R, STATA, SPSS, and advanced Excel, enabling me to efficiently clean, categorize, and summarize datasets for AI and machine learning purposes. I am passionate about remote opportunities in AI training data, dataset labeling, and model evaluation, and bring a strong understanding of AI ethics, data privacy, and workflow automation to every project.

Labeling Experience

AI Support Specialist (Data Annotation and Evaluation)

MercorTextEvaluation Rating

Performed data annotation and accuracy verification as part of AI workflow testing and training assignments. Used tools such as Copilot, ChatGPT, and Google Gemini for automation, data cleaning, and information extraction to improve AI models. Responsible for structured data labeling, summarization, and preparing evaluation reports for AI datasets. • Applied AI ethics and data privacy principles • Tested and annotated data for AI performance enhancements • Conducted AI workflow and prompt evaluation • Supported dataset preparation and quality audit

Performed data annotation and accuracy verification as part of AI workflow testing and training assignments. Used tools such as Copilot, ChatGPT, and Google Gemini for automation, data cleaning, and information extraction to improve AI models. Responsible for structured data labeling, summarization, and preparing evaluation reports for AI datasets. • Applied AI ethics and data privacy principles • Tested and annotated data for AI performance enhancements • Conducted AI workflow and prompt evaluation • Supported dataset preparation and quality audit

2025

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