Ibrahim Noorian

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Software

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Freelancer Overview

I am a passionate and adaptable professional with a strong background in generative AI and hands-on experience with Oracle Cloud Infrastructure for AI training and data annotation. My expertise includes working with AI applications, leveraging advanced research and analytical skills, and utilizing office software tools for organizing and managing data. I am skilled in HTML for basic web design and have a creative approach to visual and logo design, which supports my attention to detail when labeling or annotating data for machine learning projects. With fluency in both English and Arabic, I bring versatility and a commitment to accuracy, making me well-suited for data labeling and AI training data roles across diverse domains. My curiosity and drive for lifelong learning ensure I am always ready to adapt to new technologies and deliver high-quality results.

Labeling Experience

AI for You: Training and Assessment - Learning Path

CVATTextEvaluation Rating

This learning path provided foundational training in AI concepts, emphasizing the role of human feedback in AI model development. Participants engaged with course material directly related to evaluating and improving AI model outputs. Skills acquired included critical assessment of AI responses and understanding the workflow of AI human-in-the-loop processes. • Developed capability to rate and review AI-generated outputs • Learned methodologies for AI model evaluation using structured rubrics • Gained familiarity with processes that enhance model alignment and safety • Applied knowledge of feedback loops in AI system development

This learning path provided foundational training in AI concepts, emphasizing the role of human feedback in AI model development. Participants engaged with course material directly related to evaluating and improving AI model outputs. Skills acquired included critical assessment of AI responses and understanding the workflow of AI human-in-the-loop processes. • Developed capability to rate and review AI-generated outputs • Learned methodologies for AI model evaluation using structured rubrics • Gained familiarity with processes that enhance model alignment and safety • Applied knowledge of feedback loops in AI system development

2025 - 2025

Education

Work History