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As a self-taught digital analyst with over three years of freelance experience, I specialize in evaluating and annotating data for AI training, focusing on fraud detection and cultural content refinement. My hands-on work involves manually classifying text, images, and videos from online platforms like Tinder, Telegram, and the dark web, where I identify scam patterns (e.g., cloned marketplaces or fake card dumps) with 92% accuracy, reducing task times by 70% through intuitive shortcuts. This mirrors AI data labeling by ensuring high-quality, bias-free annotations—such as flagging ambiguous messaging or low-quality ads—drawing from my expertise in SEO-optimized YouTube content, where I grew a channel to 500,000 subscribers by assessing thumbnails, engagement, and authenticity. What sets me apart is my multicultural perspective as a native Moroccan Darija speaker (with fluent Modern Standard Arabic and intermediate French B2), allowing me to localize data for diverse audiences and train models on authentic slang . Without formal degrees, my practical skills in hardware assembly (Ethereum rigs) and melodic scat singing enhance my attention to detail in repetitive tasks, making me ideal for independent, remote annotation in cybersecurity, lifestyle content, or bilingual projects. I'm eager to contribute to scalable AI systems with flexible availability for 20-40 hours weekly.
Soufiane E. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
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youtuber