For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
M
Mohamed M.

Mohamed M.

Bilingual AI Trainer & Data Annotator (Arabic / Italian)

Egypt flagCairo, Egypt

Key Skills

Software

No software listed

Top Subject Matter

1. Languages
Translation & Linguistics
Multilingual Processing: High fluency in complex translation
localization
cross-cultural communication (including navigating nuanced language dynamics between Arabic

Top Data Types

AudioAudio
DocumentDocument
TextText

Top Task Types

TranscriptionTranscription
Text SummarizationText Summarization
Question AnsweringQuestion Answering
Translation/LocalizationTranslation/Localization
Data CollectionData Collection

Freelancer Overview

I have a robust background in AI data training, annotation, and data evaluation, with hands-on experience utilizing platforms such as the Universal Human Relevance System (UHRS) and participating in specialized digital studies. My expertise includes evaluating search engine relevance, analyzing data accuracy, and editing AI-generated transcripts to ensure high-quality outputs. By rigorously assessing datasets and refining machine learning responses, I help improve the contextual accuracy and overall performance of AI models. Additionally, my professional background in translation and customer support, combined with my fluency in both Arabic and Italian, allows me to excel in multilingual data labeling and localization tasks. This linguistic versatility is highly valuable for training AI to understand cross-cultural nuances, ensuring that the final data sets are clean, precise, and highly relevant for diverse global applications.

Labeling Experience

Yes, I have experience

Yes, I have experience

Not specified

Education

B

Bachelor of Arts in Italian Languages ​​and Translation

Degree not specified

Not specified
Not specified

Work History

C

Company not specified

AI Data Labeler & Search Relevance Evaluator Platform: Clickworker (UHRS) Duration: May 2026 – Present Data Annotation

Location not specified
2026 - Present