Moaad Arbia

Key Skills

Software

Remotasks

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Text

Top Task Types

Evaluation Rating

Prompt Response Writing SFT

Question Answering

Text Generation

Translation Localization

Freelancer Overview

I specialize in the critical human element of AI: linguistic data processing and model refinement. As an active AI Trainer since early 2025, I focus on the performance and safety of LLMs by delivering high-quality training data via a leading industry platform (Outlier/Scale AI). What sets me apart is my comprehensive language capability—I command native Arabic, bilingual French, and fluent English. This expertise is vital for excelling in multilingual evaluation, prompt-response writing, and LQA. My unique background, which spans tech entrepreneurship and professional communications, gives me a powerful blend of analytical skills and a disciplined, solutions-oriented approach crucial for tackling the most complex data challenges in AI development.

Labeling Experience

Multi-Turn Conversational Dialogue Evaluation (12+ Turns)

Scale AITextQuestion AnsweringText Generation

Executed specialized, high-stakes evaluation of Large Language Models over extended conversational contexts (12+ turns). Tasks involved probing the AI's ability to maintain context, demonstrate long-term memory, avoid repetition, and maintain a logical, coherent flow across the entire dialogue. Rated the model on conversational smoothness, topical consistency, and the accuracy of information recall from earlier turns.

Executed specialized, high-stakes evaluation of Large Language Models over extended conversational contexts (12+ turns). Tasks involved probing the AI's ability to maintain context, demonstrate long-term memory, avoid repetition, and maintain a logical, coherent flow across the entire dialogue. Rated the model on conversational smoothness, topical consistency, and the accuracy of information recall from earlier turns.

2025 - 2025

Multilingual Dialogue Quality & Conversational AI QA (Xylophone)

Scale AIAudioClassificationEvaluation Rating

Collaborated with a partner on the "Xylophone" project to generate and evaluate natural, peer-to-pee

Collaborated with a partner on the "Xylophone" project to generate and evaluate natural, peer-to-pee

2025 - 2025

E-commerce Image Bounding Box & Classification

Scale AIImageBounding BoxClassification

Executed precise object detection and image annotation for diverse datasets, including e-commerce product catalogs and general visual scenarios. Used Bounding Box and Classification techniques to label objects of interest, contributing to improved computer vision models for product recognition and categorization. Applied a high level of detail consistent with my background in web/mobile solution development.

Executed precise object detection and image annotation for diverse datasets, including e-commerce product catalogs and general visual scenarios. Used Bounding Box and Classification techniques to label objects of interest, contributing to improved computer vision models for product recognition and categorization. Applied a high level of detail consistent with my background in web/mobile solution development.

2025 - 2025

Arabic & French Audio Data Quality Assurance

Scale AIAudioClassificationTranslation Localization

Performed rigorous quality assurance on audio data to train speech-to-text models. This included transcribing audio clips in French and Arabic (various dialects), verifying existing transcriptions for accuracy, and classifying audio for emotional tone or speaker identification. Ensured high precision in challenging acoustic environments and complex speech patterns.

Performed rigorous quality assurance on audio data to train speech-to-text models. This included transcribing audio clips in French and Arabic (various dialects), verifying existing transcriptions for accuracy, and classifying audio for emotional tone or speaker identification. Ensured high precision in challenging acoustic environments and complex speech patterns.

2025 - 2025

Multilingual LLM Fine-Tuning & Evaluation

Scale AITextQuestion AnsweringText Generation

Engaged in the critical evaluation and refinement of Large Language Models (LLMs) across French, English, and Arabic. Tasks involved rating model responses for fluency, safety, coherence, and factual accuracy. Successfully contributed to Supervised Fine-Tuning (SFT) by creating high-quality, complex prompt-response pairs, ensuring cultural and linguistic nuances were accurately represented in the training data.

Engaged in the critical evaluation and refinement of Large Language Models (LLMs) across French, English, and Arabic. Tasks involved rating model responses for fluency, safety, coherence, and factual accuracy. Successfully contributed to Supervised Fine-Tuning (SFT) by creating high-quality, complex prompt-response pairs, ensuring cultural and linguistic nuances were accurately represented in the training data.

2025 - 2025

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Education

Work History