RLHF
Large Programming data that range from Prompt writing to Evaluation and Fine-tuning.
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I possess comprehensive experience across a wide spectrum of data labeling and AI training data projects. My background includes foundational tasks such as image labeling (segmentation, classification), translation, and transcription. Critically, as an Arabic language expert, I bring specialized linguistic proficiency and cultural nuance, particularly valuable for tasks involving Arabic data. I have also contributed to more advanced areas, including coding for Reinforcement Learning from Human Feedback (RLHF), Large Language Model (LLM) evaluation, generative AI training (leveraging my linguistic skills where applicable), and prompt generation, demonstrating adaptability to cutting-edge AI development needs. What sets me apart is the unique combination of this hands-on data annotation experience, specialized Arabic language expertise, and robust technical skills. I am proficient in multiple programming languages, including Python, JavaScript, C++, Swift, Java, and Kotlin. This blend of practical data understanding, deep linguistic capability in Arabic, and technical programming proficiency allows me to grasp the nuances of AI training requirements comprehensively – from data quality and cultural context to implementation. This enables me to contribute effectively to complex projects, especially those involving Arabic language processing or requiring cross-disciplinary skills that bridge data, language, and code.
Large Programming data that range from Prompt writing to Evaluation and Fine-tuning.
AI Training with Audio ranging from Audio collection to Transcription.
Image Segmentation Polygon
Train LLM with Text Generation, Summarization etc.
Bachelor's in CSE, Computer Science and Engineering
Translator, Annotator
Usability Tester