AI Training
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AI Training
AI Training
2025 - Present
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Key Skills
Software
Other
LabelboxTop Subject Matter
Arabic social media communication
Sentiment Domain Expertise
Ecommerce
Top Data Types
Text
Audio
Computer Code ProgrammingTop Task Types
Emotion Recognition
Transcription
Computer Programming Coding
Evaluation Rating
Freelancer Overview
Lead Data Annotation – Arabic NLP Project (Social Media For Brands). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, Delta University for Science and Technology (2025). AI-training focus includes data types such as Text and labeling workflows including Emotion Recognition, Translation, and Localization.
IntermediateEnglishArabic
Labeling Experience
Arabic Language QA & Localization (AI Training)
OtherText
Reviewed and assessed AI-generated Arabic content for linguistic quality assurance in an AI training and localization capacity. Focused on fluency, accuracy, register, and cultural appropriateness for Arabic Natural Language Processing tasks. Provided structured, actionable feedback categorized by semantic, syntactic, and cultural criteria to guide AI model improvements.
• Identified and corrected tone issues between MSA and dialects.
• Used bilingual explanations (Arabic/English) for taxonomy.
• Enhanced data quality for AI-driven Arabic text processing.
• Specialized in high-stakes QA for Arabic localization.
Reviewed and assessed AI-generated Arabic content for linguistic quality assurance in an AI training and localization capacity. Focused on fluency, accuracy, register, and cultural appropriateness for Arabic Natural Language Processing tasks. Provided structured, actionable feedback categorized by semantic, syntactic, and cultural criteria to guide AI model improvements. • Identified and corrected tone issues between MSA and dialects. • Used bilingual explanations (Arabic/English) for taxonomy. • Enhanced data quality for AI-driven Arabic text processing. • Specialized in high-stakes QA for Arabic localization.
Present
Lead Data Annotation – Arabic NLP Project (Social Media For Brands)
OtherTextEmotion Recognition
Led the annotation and labeling of over 10,000 Arabic social media posts for sentiment analysis and emotion detection. Applied a rigorous error taxonomy to effectively distinguish between slang, dialects, and formal Arabic, ensuring data consistency. Offered structured feedback on AI outputs, focusing on register issues and cultural nuances to enhance system performance.
• Achieved 85%+ accuracy in sentiment classification.
• Provided culturally relevant rewrites and natural phrasing suggestions.
• Focused on emotion detection across multiple Arabic dialects.
• Developed a crisis detection workflow using BERT and LSTM models.
Led the annotation and labeling of over 10,000 Arabic social media posts for sentiment analysis and emotion detection. Applied a rigorous error taxonomy to effectively distinguish between slang, dialects, and formal Arabic, ensuring data consistency. Offered structured feedback on AI outputs, focusing on register issues and cultural nuances to enhance system performance. • Achieved 85%+ accuracy in sentiment classification. • Provided culturally relevant rewrites and natural phrasing suggestions. • Focused on emotion detection across multiple Arabic dialects. • Developed a crisis detection workflow using BERT and LSTM models.
2024 - 2024
Education
D
Delta University for Science and Technology
Bachelor of Science, Artificial Intelligence
Bachelor of Science
2021 - 2025
Work History
D
Digital Egypt Pioneers Initiative
Microsoft Power BI Specialist
N/A
2025 - 2025
I
Information Technology Institute
Data Engineering Trainee
N/A
2025 - 2025