Mohamed Osman

Key Skills

Software

Google Cloud Vertex AI

Telus

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor

Audio

Computer Code Programming

Top Task Types

Classification

Computer Programming Coding

Relationship

Text Generation

Tracking

Freelancer Overview

I am an experienced data annotation specialist with a strong background in AI training data across diverse domains such as natural language processing (NLP), image classification, and sentiment analysis. I have worked on multiple large-scale projects involving text classification, named entity recognition (NER), translation, and prompt-response generation for LLMs. My hands-on experience with tools like Labelbox, Prodigy, and Scale AI enables me to deliver high-quality annotations that support machine learning model accuracy and robustness.

Labeling Experience

Entity (NER), Classification, Text Summarization

LabelboxTextText GenerationRouting

Annotated 50,000+ financial contracts and documents to identify named entities such as organizations, individuals, monetary values, and legal clauses. Maintained a precision rate of over 97% and followed strict annotation guidelines. Collaborated with a team of 10 annotators and regularly participated in quality review and feedback cycles.

Annotated 50,000+ financial contracts and documents to identify named entities such as organizations, individuals, monetary values, and legal clauses. Maintained a precision rate of over 97% and followed strict annotation guidelines. Collaborated with a team of 10 annotators and regularly participated in quality review and feedback cycles.

2023 - 2024

Education

Work History