Mohammed Alhassan

Tech enthusiast with a passion for learning and a strong desire to understand how AI models function. Native Arabic speaker comfortable across the region’s dialects, looking to bring that curiosity and linguistic ability to Arabic AI training and evaluation work.

Native speaker with expertise across the major spoken dialects, able to read meaning, tone, and nuance accurately and judge how natural a sentence sounds.

Dialects: Gulf, Levantine, Egyptian, and Modern Standard Arabic.

Good proficiency. STEP score 70 (roughly IELTS 5.5 equivalent). Comfortable reading, writing, and following guidelines in English.

General computer and web proficiency: comfortable with operating systems, online research, and common productivity tools, and quick to pick up new software and workflows.

Masarat Tracks System - Secondary School, Saudi Arabia. Currently a secondary school student.

Fully flexible and available for the next two months, ready to commit consistent hours and ramp up quickly on new guidelines.