Audio Annotating and transcripting
Transcripting, Translating and Evaluating audio files
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I have hands-on experience in data labeling and AI training across text, image, audio, and video datasets. Over the past few years, I have contributed to various global platforms such as Toloka, Mindrift AI, DataAnnotation, Yandex Yang, RemoTasks, and ClickWorkers. My responsibilities included tasks like annotating Arabic and English speech data, classifying audio commands, validating map data, and identifying objects (such as vehicles on highways) in visual datasets. Through this work, I’ve developed strong attention to detail, language fluency in both Arabic and English, and a deep understanding of quality standards in AI data pipelines. My recent contributions include prompt evaluation on Mindrift AI, where I assessed AI responses based on safety, helpfulness, and harmfulness—requiring critical thinking and language nuance. On DataAnnotation, I worked on diverse projects including audio recording, complex Arabic prompt writing, and Argon tasks that demanded precision and cultural context. Across all platforms, I’ve consistently delivered accurate and high-quality annotations under tight deadlines. My versatility with multiple data types and my experience with multilingual and multicultural content make me a valuable asset for any AI training data role.
Transcripting, Translating and Evaluating audio files
Describing whatever is said in audio recording towards LLM, Evaluating the request in the record according to type of request, ethics. Also evaluating the response
Detecting of cars on highway
Bachelor's Degree, Civil Engineering
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