data anotation
project involved labelling images and checking for errors
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hroughout my career I have developed strong, transferable experience in the core disciplines that underpin data labelling and AI training data work. At Zen Insurance, I processed and classified 40–50 prospect leads daily using structured qualification criteria, maintaining a 95%+ accuracy rate across all CRM entries — a workflow that directly mirrors the consistency, guideline-adherence, and quality standards required in annotation roles. At Rental Direct, I reviewed and logged 50+ customer records per shift at a 97% accuracy rate, independently identifying and resolving data inconsistencies and demonstrating the quality control mindset essential in AI training data pipelines. At Dolijhon Consults, I categorized and maintained records for a database of 200+ accounts, organized large volumes of data using Microsoft Excel, and applied consistent classification standards to digital content — all skills that map directly to text, image, and categorical data labelling tasks. What sets me apart is my combination of proven accuracy under volume, a certified analytical foundation, and a strong independent work ethic built across multiple remote roles. I hold a Google Data Analytics Professional Certificate (2022) and am currently developing skills in Python — giving me a growing technical edge alongside my practical data handling experience. My ability to follow complex multi-step instructions precisely, flag anomalies, and sustain high output without supervision makes me confident I can deliver consistent, high-quality contributions to any data labelling or AI training data project from day one.
project involved labelling images and checking for errors
Bsc, mechanical engineering
Sales & Customer Support