Maha A.

Data Annotator @ HUMAIN

About

As a Data Annotator at Humain, I leverage my expertise in Arabic proofreading—developed through my role at the National Center for Artificial Intelligence (NCAI)—to ensure the accuracy and quality of annotated linguistic data. My academic background from Al-Imam Muhammad Ibn Saud Islamic University has equipped me with a deep understanding of Arabic linguistics and cultural nuances. This foundation allows me to perform detailed annotation tasks with high precision, contributing to the development of advanced Arabic language models.

Country

Saudi Arabia

City

Riyadh Region

Industry

Education Management

Skill

Practical training on using Artificial Intelligence tools, Automating data and conversations using Landbot and Zapier, Implementing projects using platforms like Android Studio and Lumion, Creating images and content using AI tools, Conducting interviews for new trainees, Supervisor for trainees, Creating exploits to test AI data integrity and model responses., Ensuring language models are free from biases and generate responses aligned with ethical values., AI Security Testing: Testing the security of large language models (LLMs), Project development from concept to launch, Feasibility studies and strategic planning, Process design and operational readiness, Leadership, teamwork, and time management, Entering patient data into the electronic system, Coordinating and transferring patients to other hospitals when needed, Possessing effective and clear communication skills with patients and visitors, model trainer, Data validity evaluator, Content audit, The search for reliable data sources and ensuring their accuracy