AI Generalist
Evaluating bilingual responses for 3 anonymous models in 4 arabic dialects.
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I am an experienced AI generalist with a strong background in data annotation and labeling, specializing in general reasoning, SFT, and RLHF projects. My work at Outlier AI has allowed me to develop expertise in curating and evaluating high-quality training data for AI models, ensuring accuracy and consistency across diverse domains. With a foundation in architecture and visualization, I am proficient in using advanced technical tools and possess a keen eye for detail. My multidisciplinary experience, including filmmaking and branding, enables me to approach data tasks with creativity and precision, making me adept at handling complex annotation projects in both visual and textual data environments. I am native in both Arabic and English, which further enhances my ability to contribute to multilingual data projects.
Evaluating bilingual responses for 3 anonymous models in 4 arabic dialects.
As an AI Generalist at DataAnnotation, I contributed to data annotation projects involving both supervised fine-tuning and reinforcement learning with human feedback. My work included labeling and evaluating text data to improve general reasoning capabilities of AI systems. I participated in diverse projects handling structured data labeling, SFT, and RLHF tasks in an AI development environment. • Labeled and annotated text for AI model training and evaluation • Applied prompt engineering skills for high-quality SFT data creation • Performed evaluation and rating of AI-generated content • Collaborated closely with a multidisciplinary AI training team.
We were asked to add bounding boxes on different images to identify specific objects and items.
We were required to annotate all details in video over a few seconds, every single detail.
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