Amr Ghanem

Key Skills

Software

Other

OneForma

Appen

Labelbox

Mercor

Remotasks

Top Subject Matter

Machine Learning/AI Training

AI Training/Data Quality

Top Data Types

Text

Video

Image

Top Task Types

Classification

Red Teaming

Transcription

Computer Programming Coding

Data Collection

Prompt Response Writing SFT

Text Generation

Object Detection

Bounding Box

Freelancer Overview

AI Data Annotation Specialist (Remote Contractor). Core strengths include Outlier AI, Other, and OneForma. Education includes Bachelor of Science, Egypt-Japan University of Science and Technology. AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

AI Data Annotation Specialist (Remote Contractor)

Text

As an AI Data Annotation Specialist on the Outlier AI – Aether Project, I annotated and evaluated large-scale AI training datasets using structured rubrics and quality guidelines. I labeled and categorized data, ensuring high accuracy and consistency across tasks. I applied taxonomy frameworks for content classification and conducted detailed evaluations of AI-generated outputs. • Annotated text and multimedia datasets for machine learning models. • Reported errors, inconsistencies, and quality issues for improvement. • Applied structured annotation rubrics and guidelines. • Maintained high productivity in remote environments.

As an AI Data Annotation Specialist on the Outlier AI – Aether Project, I annotated and evaluated large-scale AI training datasets using structured rubrics and quality guidelines. I labeled and categorized data, ensuring high accuracy and consistency across tasks. I applied taxonomy frameworks for content classification and conducted detailed evaluations of AI-generated outputs. • Annotated text and multimedia datasets for machine learning models. • Reported errors, inconsistencies, and quality issues for improvement. • Applied structured annotation rubrics and guidelines. • Maintained high productivity in remote environments.

2025 - 2026

AI Data Annotation Contributor (Remote)

OtherTextClassification

As an AI Data Annotation Contributor for the Lighthouse 3 Project, I annotated both multimedia and text datasets for large-scale AI and machine learning models. I followed strict annotation guidelines to ensure dataset reliability and maintained high attention to detail during repetitive tasks. I flagged ambiguous content and inconsistencies, collaborating asynchronously with the team. • Annotated multimedia and text data for model training. • Ensured high dataset quality and consistency. • Applied annotation standards outlined by project guidelines. • Supported data quality teams by flagging problematic content.

As an AI Data Annotation Contributor for the Lighthouse 3 Project, I annotated both multimedia and text datasets for large-scale AI and machine learning models. I followed strict annotation guidelines to ensure dataset reliability and maintained high attention to detail during repetitive tasks. I flagged ambiguous content and inconsistencies, collaborating asynchronously with the team. • Annotated multimedia and text data for model training. • Ensured high dataset quality and consistency. • Applied annotation standards outlined by project guidelines. • Supported data quality teams by flagging problematic content.

2023 - 2024

Data Labeling & AI Evaluation Contributor (Remote)

OneformaText

As a freelance Data Labeling & AI Evaluation Contributor, I performed annotation, classification, and evaluation tasks for various AI training projects. I applied structured rubrics and quality frameworks to improve dataset accuracy and reviewed AI-generated responses for errors. I contributed to dataset quality improvement by highlighting inefficiencies and suggesting workflow enhancements. • Worked on independent and collaborative annotation assignments. • Used structured rubrics for quality assurance. • Identified patterns in AI responses and labeling errors. • Provided feedback for improving annotation processes.

As a freelance Data Labeling & AI Evaluation Contributor, I performed annotation, classification, and evaluation tasks for various AI training projects. I applied structured rubrics and quality frameworks to improve dataset accuracy and reviewed AI-generated responses for errors. I contributed to dataset quality improvement by highlighting inefficiencies and suggesting workflow enhancements. • Worked on independent and collaborative annotation assignments. • Used structured rubrics for quality assurance. • Identified patterns in AI responses and labeling errors. • Provided feedback for improving annotation processes.

2020 - 2022

Education

Work History