Mohamed S.

Key Skills

Software

Labelbox

V7 Labs

Mercor

Micro1

Appen

Top Subject Matter

General visual data (objects, animals, scenes)

Top Data Types

Image

Computer Code Programming

3D Sensor

Top Task Types

Classification

Prompt + Response Writing (SFT)

Computer Programming/Coding

Data Collection

Text Generation

Text Summarization

Entity (NER) Classification

Function Calling

Freelancer Overview

Labelbox – AI Data Annotator Worked on AI data annotation projects to help improve machine learning models. Labeled and reviewed text and image datasets according to detailed project guidelines. Maintained high accuracy and consistency while meeting quality standards and deadlines. Collaborated with project instructions to support the development and evaluation of AI systems. Abaka AI – AI Training Contributor Contributed to AI training projects by evaluating and improving AI-generated responses according to project guidelines. Reviewed data for accuracy, clarity, and consistency to support large language model development. Followed quality standards and completed assigned tasks within deadlines while maintaining attention to detail. Collaborated with project workflows to help enhance AI performance. CVAT – Computer Vision Data Annotation Used CVAT to annotate images and videos for computer vision and machine learning projects. Created accurate bounding boxes, polygons, and object labels following project guidelines. Reviewed annotations to ensure data quality and consistency before submission. Supported the preparation of high-quality datasets for AI model training and evaluation.

Labeling Experience

Data Annotation and AI Training Practice (Beginner)

ImageClassification

I have practiced annotating images by identifying objects, animals, and different environments to support machine learning training. My work includes tasks such as image tagging, yes/no classification (e.g., determining if the sea is present), and basic object detection. This experience has developed my understanding of annotation guidelines and the importance of data quality in AI systems. • Performed simple object and environment classification on images. • Applied yes/no questions for presence of specific items in images. • Developed familiarity with basic annotation tools and concepts. • Focused on accuracy and attention to detail in every task.

Present

Education

Work History