MENNA ELHAYTHAM NABIL SAID ABDELMOHSEN

Instructor (Web Design & CS, Arabic)

Wonderly

Sep 2025 - Jan 2026 (5 months)

Delivered interactive Arabic-language lessons on Web Design and Computer Science for learners aged 9–18. Simplified complex programming concepts using clear examples and localized explanations. Collaborated with the production team to ensure pedagogical accuracy and engaging delivery.

Arabic Voice Recording Specialist – Egyptian Arabic (Contract)

Upwork

Aug 2025 - Current (11 months)

Selected for a long-term enterprise recording project focused on Egyptian Arabic (EG) speech data collection. Recorded high-quality spoken Arabic audio following strict pronunciation, fluency, and audio-quality standards. Contributed native-level Egyptian Arabic voice data for large-scale recording projects used in AI, speech recognition, and voice-enabled technologies. Adhered to detailed scripts, linguistic guidelines, and compliance requirements under Upwork Enterprise standards. Ensured clean, consistent, and noise-free recordings suitable for professional datasets and model training. Worked independently as a contractor while meeting deadlines, quality benchmarks, and confidentiality requirements.

Linguistics Expert (Arabic)

Innodata Inc

Aug 2025 - Dec 2025 (5 months)

Optimized Large Language Model (LLM) performance through advanced prompt engineering and evaluation. Conducted linguistic annotation, data validation, and multilingual corpus QA. Assessed AI outputs for factual accuracy, cultural sensitivity, and linguistic integrity. Identified and mitigated biases in AI-generated content. Supported GenAI model training via systematic data labeling and feedback loops.

TTS - Voice Recording - ARABIC (MSA)

uTest

Feb 2025 - May 2025 (4 months)

Selected for an exclusive paid training cycle for an Arabic MSA Text-to-Speech (TTS) project after passing audio quality evaluation. Completed professional training covering project scope, recording standards, quality requirements, and environment setup. Recorded high-quality Arabic MSA voice data following strict linguistic, pronunciation, and consistency guidelines. Used internal recording tools to produce clean, noise-free audio suitable for speech synthesis and AI model training. Contributed to the development and evaluation of Arabic speech datasets for large-scale AI and voice technologies. Maintained compliance with NDA, consent, and data privacy requirements throughout the project lifecycle.

MENNA ELHAYTHAM NABIL SAID ABDELMOHSEN

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