Key Skills

Software

AWS SageMaker

Anno-Mage

Appen

Axiom AI

Clickworker

Dataloop

Supervisely

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Text

Top Task Types

Action Recognition

Audio Recording

Classification

Computer Programming Coding

Data Collection

Freelancer Overview

I have hands-on experience in data labeling and AI training data preparation, particularly within natural language processing (NLP) and sentiment analysis projects. I’ve worked extensively on annotating and curating datasets used to train machine learning models for Arabic sentiment classification, ensuring high-quality labeled data by applying strict annotation guidelines and cross-validation methods. My background in medical informatics and data science enables me to approach annotation tasks with a strong analytical mindset and attention to detail, especially when dealing with domain-specific or multilingual content. In previous roles and academic projects, I’ve contributed to building training datasets for AI models that interpret user reviews, chatbot interactions, and voice-based queries. I am familiar with tools such as Label Studio, Prodigy, and Excel-based annotation workflows, and I understand the importance of consistency, balance, and accuracy in labelled data. My experience in both data science and annotation equips me with the ability to bridge the gap between raw data and usable model inputs, making me an asset to any AI development team.

Labeling Experience

Education

Work History