Mohamed Sabra Abulftooh

Key Skills

Software

Appen

Clickworker

Figure Eight

Scale AI

Toloka

Remotasks

CVAT

Top Subject Matter

AI Model Training

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Document

Image

Text

Top Task Types

Classification

Data Collection

Evaluation Rating

Freelancer Overview

AI Training Data Annotator. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Outlier. Education includes Bachelor of Commerce, Assiut University (2024). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

AI Training / Data Labeling (Text Classification, Content Evaluation)

Scale AITextEvaluation RatingComputer Programming Coding

I participated in AI training and data labeling projects focused on text classification and content evaluation. My tasks included analyzing text data, assigning accurate labels based on detailed guidelines, and evaluating content for relevance, quality, tone, and intent. I ensured consistency and precision across all annotations to support the development of high-quality machine learning models. The project aimed to improve the model’s ability to understand language patterns, detect context, and generate more accurate responses.

I participated in AI training and data labeling projects focused on text classification and content evaluation. My tasks included analyzing text data, assigning accurate labels based on detailed guidelines, and evaluating content for relevance, quality, tone, and intent. I ensured consistency and precision across all annotations to support the development of high-quality machine learning models. The project aimed to improve the model’s ability to understand language patterns, detect context, and generate more accurate responses.

2023 - 2025

Label Studio

Label StudioImageBounding Box

Label Studio is an open-source data annotation tool designed to create labeled datasets for machine learning projects. It supports a wide range of data types including text, images, audio, and video, allowing users to perform tasks such as classification, bounding box annotation, segmentation, and transcription. With an intuitive interface and flexible customization options, Label Studio enables teams to efficiently manage annotation workflows, maintain quality control, and export data in various formats compatible with AI training pipelines.

Label Studio is an open-source data annotation tool designed to create labeled datasets for machine learning projects. It supports a wide range of data types including text, images, audio, and video, allowing users to perform tasks such as classification, bounding box annotation, segmentation, and transcription. With an intuitive interface and flexible customization options, Label Studio enables teams to efficiently manage annotation workflows, maintain quality control, and export data in various formats compatible with AI training pipelines.

2022 - 2024

Search Engine Optimization

ClickworkerImageEvaluation Rating

I worked on SEO-focused projects involving the evaluation and optimization of web content to improve search engine ranking and user experience. My responsibilities included analyzing keywords, assessing page relevance, reviewing content quality, and identifying optimization opportunities based on search intent and SEO best practices. The project aimed to enhance organic visibility, improve content structure, and ensure that web pages aligned with search engine quality guidelines.

I worked on SEO-focused projects involving the evaluation and optimization of web content to improve search engine ranking and user experience. My responsibilities included analyzing keywords, assessing page relevance, reviewing content quality, and identifying optimization opportunities based on search intent and SEO best practices. The project aimed to enhance organic visibility, improve content structure, and ensure that web pages aligned with search engine quality guidelines.

2020 - 2023

AI Training Data Annotator

Text

As an AI Training Data Annotator, labeled and reviewed datasets to improve various AI models. Evaluated AI model responses for correctness and detailed adherence to guidelines. Performed comparisons between AI outputs and reference materials for factual accuracy. • Labeled a range of datasets covering multiple AI tasks. • Assessed AI model output and documented issues or errors. • Provided structured, detailed feedback for AI model improvement. • Followed comprehensive project guidelines strictly and consistently.

As an AI Training Data Annotator, labeled and reviewed datasets to improve various AI models. Evaluated AI model responses for correctness and detailed adherence to guidelines. Performed comparisons between AI outputs and reference materials for factual accuracy. • Labeled a range of datasets covering multiple AI tasks. • Assessed AI model output and documented issues or errors. • Provided structured, detailed feedback for AI model improvement. • Followed comprehensive project guidelines strictly and consistently.

2024 - Present

classification

CVATImageBounding BoxEntity Ner Classification

This project involved annotating images by drawing precise bounding boxes around specific objects: knees, houses, and soccer balls. The goal was to create accurate labeled datasets to train computer vision models for object detection tasks. Each bounding box was carefully placed to tightly enclose the visible part of the target object without including unnecessary background or adjacent elements. Special attention was given to challenging cases, such as motion blur on soccer balls and partially visible objects, ensuring consistency and high-quality annotations across the dataset.

This project involved annotating images by drawing precise bounding boxes around specific objects: knees, houses, and soccer balls. The goal was to create accurate labeled datasets to train computer vision models for object detection tasks. Each bounding box was carefully placed to tightly enclose the visible part of the target object without including unnecessary background or adjacent elements. Special attention was given to challenging cases, such as motion blur on soccer balls and partially visible objects, ensuring consistency and high-quality annotations across the dataset.

2021

Education

Work History