Eness Abdellahi

Key Skills

Software

Appen

Argilla

Clickworker

Data Annotation Tech

Label Studio

Remotasks

Scale AI

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Task Types

Evaluation Rating

Object Detection

Prompt Response Writing SFT

Text Generation

Translation Localization

Freelancer Overview

As an Intermediate-level AI Trainer and versatile Data Annotator with 2+ years of experience, I specialize in improving and aligning Large Language Models (LLMs), particularly within Arabic NLP. My expertise is centered on high-quality human feedback and data creation for supervised fine-tuning (SFT) and evaluation. I am highly proficient in core tasks such as Prompt + Response Writing, AI Model Evaluation, and Quality Rating, ensuring Arabic models deliver accurate and culturally-relevant outputs across various dialects, including the Hijazi dialect. I possess a comprehensive skill set covering both Text and Computer Vision data modalities. This includes strong practical experience in text generation, relationship mapping, and advanced techniques like Object Detection for image and video data. I am dedicated to producing high-fidelity datasets that drive optimal model performance across diverse industries like E-commerce and Generative AI projects.

Labeling Experience

Localization & Advanced NLP Data Classifier

Data Annotation TechTextEntity Ner ClassificationText Summarization

Engaged in advanced text annotation projects on the Data Annotation Tech platform, focusing on enhancing model understanding of complex Arabic content. Key tasks included precise Entity (NER) Classification for high-stakes data, and rigorous Text Summarization to extract key information from long documents. Specialized in Translation/Localization tasks, adapting content while ensuring cultural and linguistic equivalence across modern standard and various Arabic dialects.

Engaged in advanced text annotation projects on the Data Annotation Tech platform, focusing on enhancing model understanding of complex Arabic content. Key tasks included precise Entity (NER) Classification for high-stakes data, and rigorous Text Summarization to extract key information from long documents. Specialized in Translation/Localization tasks, adapting content while ensuring cultural and linguistic equivalence across modern standard and various Arabic dialects.

2025

Native Arabic LLM Trainer & AI Response Evaluator

Data Annotation TechTextRelationshipText Generation

Executed advanced Human-in-the-Loop tasks to fine-tune and align Arabic LLMs. Key responsibilities included detailed side-by-side evaluation of model outputs, generating high-quality SFT prompts/responses, and performing fact-checking to ensure accuracy. Specialized in linguistic nuances, maintaining high fluency across multiple Arabic dialects (e.g., Hijazi) to enhance cultural relevance and reduce model bias. Maintained an average quality score above 95% across all projects.

Executed advanced Human-in-the-Loop tasks to fine-tune and align Arabic LLMs. Key responsibilities included detailed side-by-side evaluation of model outputs, generating high-quality SFT prompts/responses, and performing fact-checking to ensure accuracy. Specialized in linguistic nuances, maintaining high fluency across multiple Arabic dialects (e.g., Hijazi) to enhance cultural relevance and reduce model bias. Maintained an average quality score above 95% across all projects.

2023

Versatile Computer Vision & E-commerce Annotator

AppenImageBounding BoxPolygon

Engaged in high-volume annotation projects for client datasets on the Remotasks platform. Tasks included creating precise Bounding Box and Polygon annotations for various objects and performing Tracking on video data to support object detection and movement analysis for e-commerce and logistics. Consistently met high-quality standards and rapid turnaround times.

Engaged in high-volume annotation projects for client datasets on the Remotasks platform. Tasks included creating precise Bounding Box and Polygon annotations for various objects and performing Tracking on video data to support object detection and movement analysis for e-commerce and logistics. Consistently met high-quality standards and rapid turnaround times.

2024 - 2025

Education

Work History