Elfeky Hamad

Key Skills

Software

Appen

Clickworker

CVAT

Labelbox

Prodigy

Scale AI

SuperAnnotate

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Top Task Types

Bounding Box

Classification

Text Generation

Freelancer Overview

I am a Data Trainer and Content Reviewer with hands-on experience in data annotation, text classification, sentiment analysis, and content moderation. My work involves labeling and organizing text, images, and audio to support the training of AI and machine learning models. I have a strong academic background in Communications from Stanford University and I am proficient in English, German, and Spanish. This gives me both language skills and cultural awareness for multilingual AI projects. Besides data labeling, I have also worked on quality assurance and content evaluation. I ensure that everything is accurate, consistent, and follows project guidelines. I am skilled at using popular annotation tools and can adapt to new platforms quickly. I consistently deliver high-quality results, even under tight deadlines. My ability to blend technical detail with language and communication skills makes me a reliable and detail-oriented contributor to AI training projects.

Labeling Experience

Multilingual Text & Image Annotation Project

LabelboxImageBounding BoxEntity Ner Classification

Worked on a large AI training project focused on text and image datasets to improve natural language models. My tasks included classifying text for sentiment and intent, performing Named Entity Recognition in English, German, and Spanish, and reviewing user-generated content for safety and guideline compliance. I also completed bounding box annotations on product images for computer vision training. For quality control, I conducted peer reviews and used platform-based accuracy checks, consistently achieving over 95% accuracy.

Worked on a large AI training project focused on text and image datasets to improve natural language models. My tasks included classifying text for sentiment and intent, performing Named Entity Recognition in English, German, and Spanish, and reviewing user-generated content for safety and guideline compliance. I also completed bounding box annotations on product images for computer vision training. For quality control, I conducted peer reviews and used platform-based accuracy checks, consistently achieving over 95% accuracy.

2022 - 2023

Education

Work History