Key Skills

Software

Remotasks

Scale AI

Labelbox

Top Subject Matter

LLM evaluation in Arabic

Prompt engineering

Image generation evaluation

Top Data Types

Document

Text

Top Task Types

Evaluation Rating

Prompt Response Writing SFT

Text Generation

Freelancer Overview

I specialize in evaluating large language models (LLMs) in English and Arabic, ensuring their performance aligns with linguistic, contextual, and cultural nuances. With experience in assessing text generation, content coherence, and localization accuracy, I bring a sharp analytical approach to identifying model strengths and areas for improvement. Additionally, I have expertise in evaluating AI-generated images, focusing on content relevance, quality, and alignment with prompts. My dual-language proficiency and background in AI evaluation equip me to deliver insights that enhance model training and output quality across text and image generation tasks.

Labeling Experience

Text Annotation for Sentiment Analysis

LabelboxTextEvaluation Rating

Annotated and evaluated English and Arabic text samples for sentiment analysis to train a natural language processing (NLP) model. Tasks included labeling text with sentiment categories (positive, negative, neutral) while ensuring linguistic accuracy, cultural relevance, and adherence to project guidelines. Leveraged tools like Labelbox and spaCy for annotation and preprocessing, contributing to a 20% improvement in the model’s sentiment prediction accuracy across both languages.

Annotated and evaluated English and Arabic text samples for sentiment analysis to train a natural language processing (NLP) model. Tasks included labeling text with sentiment categories (positive, negative, neutral) while ensuring linguistic accuracy, cultural relevance, and adherence to project guidelines. Leveraged tools like Labelbox and spaCy for annotation and preprocessing, contributing to a 20% improvement in the model’s sentiment prediction accuracy across both languages.

2024 - 2024

Education

Work History