Mona Khalaf

About Mona Khalaf

Arabic AI Language Specialist focused on voice, speech AI, and high-quality Arabic data for AI systems.Specialized in Saudi Arabic, AI data annotation, and linguistic quality review for real-world AI performance.With a strong foundation as an Arabic Language Advisor, Translator, Transcreator, and Content Specialist, I bring over a decade of experience working with global brands such as Netflix, Nike, and Google, ensuring linguistic accuracy, cultural relevance, and message integrity across high-impact projects.In recent years, my work has expanded into AI language data workflows, including voice and speech data annotation, AI training data labeling, linguistic quality assurance, and human-in-the-loop review for Arabic voice and language systems. I collaborate closely with AI teams to improve data reliability, model performance, and real-world usability, particularly for Saudi Arabic.I have also led and mentored teams of linguists and writers, setting language standards, reviewing output quality, and ensuring consistency across large-scale initiatives supporting both content development and AI model training.I am trusted with high-sensitivity language data and confidential content, where precision, discretion, and sound linguistic judgment are critical.I collaborate with AI teams, tech companies, and language partners seeking reliable Arabic language expertise for voice, speech, and AI-driven products, with a strong focus on quality, nuance, and cultural accuracy.Portfolio & background:

Experience

1. Arabic Ai Language Specialist

   Mercor

   May 2025 — Present · US

   Worked on AI-driven language and voice projects supporting the development and evaluation of Arabic speech and language models, with a strong focus on Saudi and GCC dialects. Contributed to high-quality AI training data pipelines through precise voice data annotation, labeling, and linguistic quality review, ensuring accuracy, cultural relevance, and consistency.Collaborated within human-in-the-loop AI workflows, reviewing and validating Arabic voice and text data used for speech recognition (ASR), language understanding, and AI model training. Applied linguistic expertise to identify errors, ambiguities, and dialectal nuances, and provided corrective feedback to improve overall model performance and data reliability.Maintained strict adherence to annotation guidelines, quality standards, and confidentiality requirements, while delivering consistent, high-accuracy outputs within fast-paced AI production environments.

Education

• The Blackford Center

  Diploma, Copywriting

  2015 — 2016

• Microsoft

  Diploma, Computer Networking

  2006 — 2007

• Heartland Community College

  Associate of Arts - AA, Communication and Media Studies

• Northwestern University

  Certificate , Digital Marketing AI

Skills

• Copywriting
• Copy Editing
• SEO Copywriting
• Screenwriting
• Digital Copywriting
• Proofreading
• Screenplays
• Formatting Documents
• Content Writing
• Documentaries
• Blog Marketing
• Press Releases
• Animation
• Social Media Blogging
• Research
• English
• Microsoft Office
• Administration
• Branding & Identity
• Digital Marketing
• Social Media Marketing
• Digital Media
• Concept Development
• Business Planning
• Project Management
• Analysis
• Project Planning
• Management
• Social Media
• Advertising
• Negotiation