Outlier
Audios reviewing, Videos dubbing and Transcription correction
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have experience working with structured and unstructured data in AI training contexts, including tasks like data labeling, text classification, sentiment annotation, and quality evaluation of model outputs. I’m comfortable following detailed guidelines to ensure consistency and accuracy, even when dealing with large volumes of data or ambiguous edge cases. I’ve also worked with multilingual text (including Arabic–English tasks), which helped me develop a strong attention to context, tone, and meaning rather than just literal translation. What sets me apart is my focus on accuracy and pattern recognition, especially when labeling requires judgment rather than simple rules. I’m able to stay consistent across long tasks, quickly adapt to new annotation guidelines, and maintain high quality under time pressure. I also pay close attention to edge cases and inconsistencies, which helps improve dataset reliability and ultimately leads to better model performance.
Audios reviewing, Videos dubbing and Transcription correction
As an AI Data Contributor & Bilingual Language Specialist, I evaluated and improved AI-generated responses for clarity, accuracy, and human-like quality. I rewrote outputs to match human text and ranked the outputs, following complex guidelines and prompt engineering practices. I worked on multilingual annotation, content moderation, and error detection in AI model outputs. • Assessed and rated AI-generated responses for quality. • Practiced rewriting and fact-checking of model outputs. • Translated and evaluated Arabic-English AI-generated content. • Detected hallucinations, inconsistencies, and bias in diverse text domains.
High School Diploma, General Secondary Education
Bachelor of Science, Computer Science
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