Key Skills

Software

Data Annotation Tech

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Medical Dicom

Text

Top Task Types

Data Collection

Prompt Response Writing SFT

Text Generation

Text Summarization

Translation Localization

Freelancer Overview

Creative and adaptable professional with hands-on experience in voice acting, Arabic content development, and AI text evaluation. Strong ability to produce expressive audio, craft culturally aligned written content and enhance machine-generated texts for accuracy and fluency. Proven record of working effectively in remote settings. - Worked on many projects on outlier. - Freelance Voice Artist - Delivered a variety of voice recordings with clarity, tone control, and emotional expression. - Reviewed and refined scripts to ensure natural flow and engagement. - Produced compelling vocal performances for diverse audio projects. - Arabic Content Specialist & AI Text Reviewer - Created and refined Arabic content tailored to cultural and linguistic standards - Assessed AI-generated texts for precision, readability, and language authenticity. - Provided expert feedback to improve machine learning models in natural language processing - Voice Acting & Audio Performance: Vocal modulation, character interpretation, improvisation - Content Creation & Localization: Creative writing, editing, cultural adaptation, translation. - AI Content Evaluation: Quality assurance of AI-generated text, linguistic accuracy, and enhancement for natural flow

Labeling Experience

Previos Experience.

Data Annotation TechTextText GenerationText Summarization

I worked on a large-scale data labeling project focused on LLM-related text annotation. The scope included annotating and classifying thousands of text samples across diverse topics to support model training and evaluation. Tasks covered entity recognition, classification, translation/localization, and prompt–response writing (SFT) for high-quality LLM outputs. The dataset exceeded 50,000+ text items with varied complexity (short prompts, long-form answers, multilingual content). I ensured high accuracy and consistency through cross-checking, adherence to strict labeling guidelines, and leveraging QA feedback loops. Quality measures included double-review processes, inter-annotator agreement checks, and continuous calibration to maintain >95% accuracy. Tools used: Data Annotation Tech platform with built-in QA dashboards and analytics to track progress and quality. Industry focus: Large Language Models / AI / NLP.

I worked on a large-scale data labeling project focused on LLM-related text annotation. The scope included annotating and classifying thousands of text samples across diverse topics to support model training and evaluation. Tasks covered entity recognition, classification, translation/localization, and prompt–response writing (SFT) for high-quality LLM outputs. The dataset exceeded 50,000+ text items with varied complexity (short prompts, long-form answers, multilingual content). I ensured high accuracy and consistency through cross-checking, adherence to strict labeling guidelines, and leveraging QA feedback loops. Quality measures included double-review processes, inter-annotator agreement checks, and continuous calibration to maintain >95% accuracy. Tools used: Data Annotation Tech platform with built-in QA dashboards and analytics to track progress and quality. Industry focus: Large Language Models / AI / NLP.

2025 - 2025

Education

Work History