رندة مصطفى حسن

Experienced Data Annotator and AI Content Specialist with more than 5 years of experience in multilingual data annotation, natural language processing (NLP), and machine learning support. Skilled in annotating text, audio, image, and video datasets to train high-performance AI models. Proven ability to manage large-scale annotation workflows, perform quality assurance reviews, and collaborate with international teams in AI development.

Experienced in Arabic dialect annotation, ASR datasets, SEO optimization, and AI-assisted content generation with strong attention to detail and analytical skills.

Team Lead at Mawdoo3 AI (2025-01 – Present)

Lead data annotation teams for NLP and AI projects with focus on task distribution, QA reviews, and quality standards.

• Lead data annotation teams for NLP and AI projects.
• Manage task distribution, QA reviews, and project deadlines.
• Ensure adherence to annotation guidelines and quality standards.
• Train and mentor new annotators to maintain dataset consistency.
• Improve annotation workflows and productivity.

Transcription & Voice Recording Specialist at Perle (2025-01 – Present)

Perform high-accuracy Arabic transcription and voice recording for speech recognition datasets across multiple dialects.

• Performed high-accuracy Arabic transcription for speech recognition datasets.
• Recorded Arabic speech across multiple dialects including Levantine and Gulf.
• Ensured pronunciation clarity and dialect consistency.

Data Annotator at DeepMind (2024-01 – 2024-12)

Contributed to Arabic data annotation and pre-processing for AI model training with focus on text classification and dataset quality.

• Contributed to Arabic data pre-processing for AI model training.
• Labelled and classified text datasets with high accuracy.
• Worked with QA teams to ensure dataset quality.

Language Data Annotator at Mindrift (2023-01 – Present)

Annotate Arabic dialect datasets and create linguistic data for conversational AI systems with validation of NLP outputs.

• Annotate Arabic dialect datasets including Jordanian, Levantine, and Egyptian.
• Create linguistic data for conversational AI systems.
• Validate NLP-generated outputs.

Search and Content Analyst at OpenAI (2023-01 – Present)

Analyze Arabic search behavior to improve search model accuracy through keyword research and content optimization.

• Analysed Arabic search behaviour to improve search model accuracy.
• Conducted keyword research and clustering.
• Optimized content based on user search intent.

Data Annotator at Appen (2023-01 – 2025-12)

Annotate Arabic and English datasets for machine learning applications with quality assurance reviews.

• Annotated Arabic and English datasets for machine learning applications.
• Performed quality assurance reviews and corrections.

Data Annotator at e2f (2022-01 – Present)

Work on text, image, and audio annotation projects with token classification and dataset labeling.

• Worked on text, image, and audio annotation projects.
• Performed token classification and dataset labeling.

Data Annotator at Amazon (2022-01 – 2023-12)

Label audio and video datasets for AI model development with quality assurance checks.

• Labelled audio and video datasets for AI model development.
• Performed QA checks to ensure annotation accuracy.

SEO Specialist at Mawdoo3.com (2018-01 – 2020-12)

Manage SEO strategies for Arabic health content and conduct keyword research to increase organic traffic.

• Managed SEO strategies for Arabic health content.
• Conducted keyword research to increase organic traffic.

SEO Content Specialist at Hekma.com (2013-01 – 2018-12)

Create SEO-optimized articles focused on health topics and improve content discoverability using schema markup.

• Created SEO-optimized articles focused on health topics.
• Improved content discoverability using schema markup.

Bachelor in Computer Science – Zarqa University (2013)