Youssef Yasser

Key Skills

Software

Appen

Clickworker

Data Annotation Tech

Mercor

OneForma

Remotasks

Scale AI

Telus

Other

Top Subject Matter

AI/LLM evaluation

Safety Domain Expertise

Multilingual NLP

Top Data Types

Audio

Image

Medical Dicom

Text

Video

Document

Top Task Types

Audio Recording

Data Collection

Prompt Response Writing SFT

RLHF

Translation Localization

Object Detection

Action Recognition

Transcription

Red Teaming

Freelancer Overview

Data Annotation and LLM Evaluation Specialist. Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Medicine and Bachelor of Surgery, Cairo University (2016) and Doctor of Philosophy, Menoufia University (2021). AI-training focus includes data types such as Text, Image, and Video and labeling workflows including Evaluation, Rating, and Object Detection.

Labeling Experience

STEM Expert

MercorMedical DicomDiagnosis

The project was about training AI models in Clinical Medicine, to help the model to give a diagnosis.

The project was about training AI models in Clinical Medicine, to help the model to give a diagnosis.

2025

AI Safety and Content Evaluation Specialist

OtherTextRed Teaming

As an AI Safety and Content Evaluation Specialist, I performed adversarial testing and red teaming by crafting prompts to identify vulnerabilities in LLMs. My work included detecting jailbreak attempts, harmful content, and policy compliance failures. This contributed to improving safety frameworks and safeguard robustness for AI models. • Designed adversarial prompts for LLM stress tests. • Evaluated and documented model vulnerabilities and failures. • Identified and flagged policy circumvention and safety risks. • Provided detailed moderation justifications for each case.

As an AI Safety and Content Evaluation Specialist, I performed adversarial testing and red teaming by crafting prompts to identify vulnerabilities in LLMs. My work included detecting jailbreak attempts, harmful content, and policy compliance failures. This contributed to improving safety frameworks and safeguard robustness for AI models. • Designed adversarial prompts for LLM stress tests. • Evaluated and documented model vulnerabilities and failures. • Identified and flagged policy circumvention and safety risks. • Provided detailed moderation justifications for each case.

2022 - Present

RLHF Annotator & Evaluator

OtherTextRLHF

I contributed to reinforcement learning from human feedback (RLHF) pipelines by ranking, scoring, and correcting LLM-generated responses. My participation improved model alignment with human values, safety guidelines, and user intent in multiple domains, especially in Arabic and English. Applied detailed evaluation protocols and policy enforcement in each RLHF iteration. • Scored, ranked, and refined output samples from LLMs. • Applied safety standards and policy guidelines during labeling. • Focused on cultural and language localization. • Supported RLHF cycles with detailed annotation notes.

I contributed to reinforcement learning from human feedback (RLHF) pipelines by ranking, scoring, and correcting LLM-generated responses. My participation improved model alignment with human values, safety guidelines, and user intent in multiple domains, especially in Arabic and English. Applied detailed evaluation protocols and policy enforcement in each RLHF iteration. • Scored, ranked, and refined output samples from LLMs. • Applied safety standards and policy guidelines during labeling. • Focused on cultural and language localization. • Supported RLHF cycles with detailed annotation notes.

2022 - Present

Video Annotation Specialist

OtherVideoAction Recognition

I conducted video annotation for AI models, focusing on action recognition and frame-by-frame segmentation. My responsibilities included segmenting videos, annotating actions, and validating the temporal accuracy of labels. Adhered strictly to project guidelines and ensured high-quality standards in annotated video datasets. • Annotated actions and events within video datasets. • Performed frame-by-frame video segmentation. • Validated temporal consistency of action labels. • Executed rigorous quality assurance checks.

I conducted video annotation for AI models, focusing on action recognition and frame-by-frame segmentation. My responsibilities included segmenting videos, annotating actions, and validating the temporal accuracy of labels. Adhered strictly to project guidelines and ensured high-quality standards in annotated video datasets. • Annotated actions and events within video datasets. • Performed frame-by-frame video segmentation. • Validated temporal consistency of action labels. • Executed rigorous quality assurance checks.

2022 - Present

Image Annotation Specialist

OtherImageObject Detection

I performed image annotation tasks for AI datasets, including image classification, tagging, and object detection using bounding boxes. The projects focused on building robust datasets for training computer vision and multimodal AI models. The annotation work adhered to strict guidelines for accuracy and consistency in object annotation. • Labeled and verified image data for AI model training. • Applied bounding box techniques for object detection. • Conducted image tagging and classification. • Conducted quality assurance and cross-validation of image annotations.

I performed image annotation tasks for AI datasets, including image classification, tagging, and object detection using bounding boxes. The projects focused on building robust datasets for training computer vision and multimodal AI models. The annotation work adhered to strict guidelines for accuracy and consistency in object annotation. • Labeled and verified image data for AI model training. • Applied bounding box techniques for object detection. • Conducted image tagging and classification. • Conducted quality assurance and cross-validation of image annotations.

2022 - Present

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Education

Work History