Geocoding Chaos: Mapping Rural Villages for a Jordanian Food Delivery Startup
Labeled 3000+ addresses and satellite images to build a geocoding system for rural Jordan.
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As a bilingual data labeling specialist fluent in Arabic and English, I’ve spent 2+ years refining datasets for AI systems that power everything from chatbots to code-generating models. My work bridges language and logic I’ve annotated thousands of hours of text for sentiment analysis, labeled programming syntax for AI driven debugging tools, and fine-tuned large language models LLMs to grasp cultural nuances in both languages. For example, I recently helped a fintech company train an Arabic chatbot to detect fraud patterns in customer interactions, blending linguistic accuracy with technical precision. also I thrive in hybrid roles where code meets communication . Whether flagging dialect specific slang in social media data or structuring Python datasets to teach AI how to optimize algorithms, I ensure models “speak” both human and machine languages fluently. My attention to detail from spotting typos in legal documents to debugging faulty code snippets has delivered error rates below 1% in high-stakes projects.
Labeled 3000+ addresses and satellite images to build a geocoding system for rural Jordan.
customer support messages (Arabic/English) for a Saudi-based e-commerce platform’s chatbot. Focused on resolving ambiguities in Gulf dialects and handling typos in informal Arabic text
An Arabiani-based ride-sharing company struggled with AI chatbots misinterpreting Gulf Arabic slang in customer complaints.
Bachelor of Science, Computer Science
Volunteer Facilitator & AI Project Lead
Freelance AI Consultant