Mohammed Yousry

Key Skills

Software

Scale AI

Appen

Remotasks

Telus

Lionbridge

Data Annotation Tech

Toloka

iMerit

Clickworker

Mighty AI

Top Subject Matter

AI Data Training

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Text

Document

Audio

Image

Video

Top Task Types

Entity Ner Classification

Audio Recording

Classification

Freelancer Overview

AI Trainer & Arabic Annotator. Core strengths include Remotasks, Scale AI, and Telus. Education includes Doctor of Philosophy, Cairo College (2019) and Master of Science, Cairo College (2019). AI-training focus includes data types such as Text, Audio, and Image and labeling workflows including Entity (NER) Classification, Audio Recording, and Classification.

Labeling Experience

AI Trainer & Arabic Annotator

RemotasksVideoClassification

I participated in video annotation projects by labeling segments, classifying content, and extracting relevant metadata from a variety of video datasets. My responsibilities included following precise guidelines, checking for consistent labeling, and performing quality assurance on labeled video data. Collaboration with project teams ensured high annotation accuracy and dataset usability. • Labeled and classified video content for AI and machine learning projects. • Annotated segments and extracted metadata from diverse video sources. • Conducted quality review and ensured adherence to project labeling standards. • Collaborated with platform teams to improve video annotation procedures and outcomes.

I participated in video annotation projects by labeling segments, classifying content, and extracting relevant metadata from a variety of video datasets. My responsibilities included following precise guidelines, checking for consistent labeling, and performing quality assurance on labeled video data. Collaboration with project teams ensured high annotation accuracy and dataset usability. • Labeled and classified video content for AI and machine learning projects. • Annotated segments and extracted metadata from diverse video sources. • Conducted quality review and ensured adherence to project labeling standards. • Collaborated with platform teams to improve video annotation procedures and outcomes.

2019 - Present

AI Trainer & Arabic Annotator

RemotasksDocumentClassification

I performed document labeling and annotation tasks for both text-based and scanned image documents intended for AI data pipelines. This included classification, entity extraction, and quality assurance for diverse document types in Arabic and English. All work was completed according to provided guidelines and with careful data integrity checks. • Labeled and classified Arabic and English documents for AI training projects. • Extracted entities and performed metadata annotation as per guidelines. • Reviewed and validated document datasets for accuracy, correctness, and consistency. • Maintained compliance with security and privacy protocols during labeling activities.

I performed document labeling and annotation tasks for both text-based and scanned image documents intended for AI data pipelines. This included classification, entity extraction, and quality assurance for diverse document types in Arabic and English. All work was completed according to provided guidelines and with careful data integrity checks. • Labeled and classified Arabic and English documents for AI training projects. • Extracted entities and performed metadata annotation as per guidelines. • Reviewed and validated document datasets for accuracy, correctness, and consistency. • Maintained compliance with security and privacy protocols during labeling activities.

2019 - Present

AI Trainer & Arabic Annotator

RemotasksImageClassification

I contributed to annotation projects involving images by classifying and labeling image content according to project requirements for various computer vision pipelines. My tasks included reviewing attributes, flagging anomalies, and ensuring compliance with image annotation guidelines. Quality control and dataset review were performed to maintain high standards and accuracy. • Classified images for use in supervised computer vision model training. • Labeled image features and attributes following detailed annotation instructions. • Reviewed image datasets for errors, inconsistencies, and flagged anomalies. • Complied with platform-specific labeling and dataset quality requirements.

I contributed to annotation projects involving images by classifying and labeling image content according to project requirements for various computer vision pipelines. My tasks included reviewing attributes, flagging anomalies, and ensuring compliance with image annotation guidelines. Quality control and dataset review were performed to maintain high standards and accuracy. • Classified images for use in supervised computer vision model training. • Labeled image features and attributes following detailed annotation instructions. • Reviewed image datasets for errors, inconsistencies, and flagged anomalies. • Complied with platform-specific labeling and dataset quality requirements.

2019 - Present

AI Trainer & Arabic Annotator

RemotasksAudioAudio Recording

I conducted Arabic speech recording and audio data collection projects for the purpose of training speech recognition models. This included recording, annotating, and transcribing spoken language samples as well as reviewing resulting datasets for accuracy and completeness. Compliance with annotation guidelines and QA best practices was ensured throughout the process. • Recorded Arabic speech samples to support voice recognition technology. • Annotated and transcribed speech data for use in machine learning pipelines. • Performed dataset reviews to maintain quality, accuracy, and consistency. • Ensured all data labeling followed strict linguistic and anonymization guidelines.

I conducted Arabic speech recording and audio data collection projects for the purpose of training speech recognition models. This included recording, annotating, and transcribing spoken language samples as well as reviewing resulting datasets for accuracy and completeness. Compliance with annotation guidelines and QA best practices was ensured throughout the process. • Recorded Arabic speech samples to support voice recognition technology. • Annotated and transcribed speech data for use in machine learning pipelines. • Performed dataset reviews to maintain quality, accuracy, and consistency. • Ensured all data labeling followed strict linguistic and anonymization guidelines.

2019 - Present

AI Trainer & Arabic Annotator

RemotasksTextEntity Ner Classification

I performed high-quality Arabic text annotation, entity recognition, sentiment analysis, and intent classification for NLP model training across several AI platforms. My work included prompt evaluation for large language models (LLMs), quality control of annotated data, and dataset review, supporting multilingual natural language processing. I also participated in text translation, transcription, and ensured guideline compliance in all labeling tasks. • Labeled and annotated Arabic and multilingual text for NER, sentiment, and intent classification projects. • Evaluated and wrote prompts and responses to enhance LLMs using RLHF methodologies. • Conducted quality assurance and consistency checks on large annotated text datasets. • Translated and transcribed Arabic language content for diverse AI datasets.

I performed high-quality Arabic text annotation, entity recognition, sentiment analysis, and intent classification for NLP model training across several AI platforms. My work included prompt evaluation for large language models (LLMs), quality control of annotated data, and dataset review, supporting multilingual natural language processing. I also participated in text translation, transcription, and ensured guideline compliance in all labeling tasks. • Labeled and annotated Arabic and multilingual text for NER, sentiment, and intent classification projects. • Evaluated and wrote prompts and responses to enhance LLMs using RLHF methodologies. • Conducted quality assurance and consistency checks on large annotated text datasets. • Translated and transcribed Arabic language content for diverse AI datasets.

2019 - Present

Education

Work History