Abdelaziz Elshinawy

Key Skills

Software

Data Annotation Tech

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Classification

Question Answering

Text Generation

Text Summarization

Red Teaming

Freelancer Overview

I am a bilingual Arabic–English linguistic specialist with extensive experience in data annotation, labeling, and quality assurance for AI and NLP projects. My work involves annotating and reviewing large-scale text and audio datasets, validating translations, and evaluating AI-generated outputs such as chatbot conversations and search responses. I excel at maintaining high accuracy and consistency under tight deadlines, leveraging my strong analytical skills and attention to detail developed over a long engineering career. I am skilled in Excel-based data review, guideline interpretation, error detection, and ensuring cultural and contextual accuracy, particularly for Arabic (Egyptian/MENA) localization. I am committed to delivering high-quality training data and evaluation to support the development of robust AI models.

Labeling Experience

Data Labeling & Annotation Contributor

Data Annotation TechTextClassificationQuestion Answering

In this remote contract role, I annotated large volumes of text and conversational data for NLP and LLM model training, adhering to detailed project-specific guidelines. My work focused on bilingual annotation in Arabic and English, consistently labeling intents, categories, entities, and attributes while maintaining high accuracy and quality benchmarks. I also supported guideline refinement by flagging ambiguous cases and aided quality assurance through peer reviews and inter-annotator agreement. • Annotated text for intent, sentiment, and entity recognition tasks. • Labeled and transcribed Arabic and English conversational turns and audio. • Applied classification, NER, sentiment, and turn labeling within supervised learning pipelines. • Utilized web-based annotation tools, spreadsheets, and secure management platforms for QA and tracking.

In this remote contract role, I annotated large volumes of text and conversational data for NLP and LLM model training, adhering to detailed project-specific guidelines. My work focused on bilingual annotation in Arabic and English, consistently labeling intents, categories, entities, and attributes while maintaining high accuracy and quality benchmarks. I also supported guideline refinement by flagging ambiguous cases and aided quality assurance through peer reviews and inter-annotator agreement. • Annotated text for intent, sentiment, and entity recognition tasks. • Labeled and transcribed Arabic and English conversational turns and audio. • Applied classification, NER, sentiment, and turn labeling within supervised learning pipelines. • Utilized web-based annotation tools, spreadsheets, and secure management platforms for QA and tracking.

2020

Education

Work History