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Remotasks
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AudioSince 2022, I have developed a comprehensive background in the AI training lifecycle, beginning with high-precision data labeling at Remotasks. My early experience focused on computer vision, where I performed detailed object labeling for both static imagery and frame-by-frame video sequences. This foundational role evolved into a Quality Assurance (QA) position, where I was responsible for auditing peer work, ensuring dataset integrity, and maintaining the rigorous standards required for high-performing machine learning models. My expertise further expanded into linguistic and multimodal domains through work with Agents Only and Outlier. I have contributed to the development of Natural Language Processing (NLP) by producing long-form vocal data in both English and Egyptian Arabic, specifically designed to train models in dialectal nuances. Currently, as a Generalist at Outlier, I evaluate complex model outputs across text-to-text, text-to-image, and text-to-video modalities. This diverse experience—spanning computer vision, audio linguistics, and cross-model evaluation—allows me to provide the high-level critical feedback necessary for refining sophisticated, multi-modal generative AI.
Aether is built for contributors who like quick, simple tasks. I look at a picture and describe it, Spot differences between two things, Follow straight-forward instructions. and evaluate AI outcome and responses
I was providing a recording of my voice in a podcast like episodes for the sake of AI training, to teach AI the English dialect and the Egyptian Arabic dialect
I was labeling moving cars on a highway videos frame by frame after a couple of months I became a quality assurance agent where I evaluate other agents work
were labeling objects and by dragging a line on the edge of the objects precisely after a while I became a quality assurance agent when I was actually rating other agents work
Diploma, Psychology
Bachelor of Arts, Sociology
Appointment Setter
Acquisition Manager
