I will iabel egyptian arabic text for ai training and llm dataset
About this Gig
Welcome to your premium solution for Arabic NLP and AI Training!
Looking for a native speaker to build, clean, or annotate high-quality datasets for AI models? You are in the right place!
With the boom of LLMs, accurately labeled data is the key to model success. I provide precise, manual text labeling for Egyptian Arabic and Modern Standard Arabic (MSA).
What I Can Do For You:
- Text Annotation & Labeling: For Named Entity Recognition (NER), intent classification, and AI training data.
- Sentiment Analysis: Detecting emotions, sarcasm, and tone in Egyptian dialect (Positive, Negative, Neutral).
- Dataset Cleaning & Formatting: Preparing your raw text data to be model-ready.
- Audio-to-Text Alignment: Mapping Arabic audio transcriptions with high linguistic precision.
Why Choose Me?
- Native Egyptian Speaker: Deeply understand cultural context and slang that tools miss.
- 100% Manual Work: Pure human accuracy without automated translation.
- Data Privacy: Your datasets and guidelines remain completely confidential.
- Custom Delivery: JSON, CSV, Excel, or directly on your annotation platform.
Please contact me before placing an order to discuss your requirements.
Technique:
Manual
Tagging type:
Text
•
Audio
My Portfolio
FAQ
What types of Arabic datasets can you audit and refine?
I evaluate both text and audio datasets. This includes social media posts, comments, chat logs, user-generated content, voice notes, and audio recordings containing Modern Standard Arabic MSA and all regional Egyptian dialects.
How do you handle sarcasm and double meanings in the Egyptian dialect?
As a native specialist, I apply human contextual intelligence to do a reverse engineering of user intent. I screen the hidden subtext to accurately classify whether the phrasing carries genuine praise, extreme dissatisfaction, or blistering sarcasm, which automated tools completely fail to decode.
Do you guarantee strict data privacy for proprietary corporate datasets?
Yes, absolute data confidentiality and privacy are strictly guaranteed. Your datasets, guidelines, and project models will never be shared, published, or leaked to any third party under any circumstances.

