Omar Mansour

Key Skills

Software

Appen

Clickworker

OneForma

Telus

Other

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Text

Video

Top Task Types

Audio Recording

Data Collection

Evaluation Rating

Text Generation

Translation Localization

Freelancer Overview

particularly in Arabic data annotation, transcription, and content evaluation. I’ve contributed to tasks involving linguistic accuracy, cultural relevance, and identifying harmful or biased content, helping improve the safety and reliability of large language models (LLMs). My background in healthcare gives me a strong foundation for working on medically oriented datasets, while my fluency in Arabic and proficiency in English allow me to work across multilingual projects. I am detail-oriented, fast-learning, and comfortable using digital tools to meet project guidelines and deadlines in remote, collaborative environments.

Labeling Experience

Arabic Data Labeling Specialist – LLM Safety & Evaluation

Scale AIAudioText GenerationTranslation Localization

Labeled and evaluated Arabic text for a multilingual AI project, focusing on harmful content detection, relevance scoring, and linguistic accuracy. Also worked on prompt-response annotation and medical-related content using my healthcare background. Met quality standards and deadlines in a fully remote setup.

Labeled and evaluated Arabic text for a multilingual AI project, focusing on harmful content detection, relevance scoring, and linguistic accuracy. Also worked on prompt-response annotation and medical-related content using my healthcare background. Met quality standards and deadlines in a fully remote setup.

2023 - 2025

DICOM Annotation for Radiology Imaging

Scale AIMedical DicomBounding BoxPoint Key Point

Annotated DICOM images (CT & MRI) for medical AI training. Tasks included segmentation and classification of anatomical structures and abnormalities using CVAT and Labelbox, in collaboration with radiologists.

Annotated DICOM images (CT & MRI) for medical AI training. Tasks included segmentation and classification of anatomical structures and abnormalities using CVAT and Labelbox, in collaboration with radiologists.

2022 - 2025

Video data labeling

Scale AIVideoClassificationQuestion Answering

Labeled video data for emotion recognition and question answering. Tasks included classification and transcription. Used Scale AI for annotation. Ensured quality with multi-level review and guidelines.

Labeled video data for emotion recognition and question answering. Tasks included classification and transcription. Used Scale AI for annotation. Ensured quality with multi-level review and guidelines.

2022 - 2025

Education

Work History