Hazem Zahran

Key Skills

Software

Appen

Clickworker

Data Annotation Tech

Labelbox

Mindrift

OneForma

Remotasks

Scale AI

Toloka

Telus

CVAT

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Text

Top Task Types

Computer Programming Coding

Entity Ner Classification

Prompt Response Writing SFT

Text Summarization

Translation Localization

Freelancer Overview

I have over 3 years of hands-on experience in AI training data and data labeling, gained through freelance roles focused on developing and improving AI models across voice, image, and language domains. My work has involved transcribing audio, translating content, annotating datasets, and validating machine-generated outputs—ensuring high accuracy, consistency, and context relevance. I've trained and evaluated models for natural language processing (NLP), voice recognition, and image classification, contributing directly to better model performance and usability. What sets me apart is my ability to combine technical skills in Python, Java, and TensorFlow with linguistic fluency in Arabic and English, plus intermediate proficiency in French and German. I bring a deep understanding of how large language models function and improve through human-in-the-loop feedback. My strengths in attention to detail, critical thinking, and cross-cultural language understanding make me highly effective at identifying nuanced errors and providing actionable, high-quality feedback to AI systems.

Labeling Experience

annotation

Scale AIVideoClassificationText Generation

In the Video-to-Text Generation and Classification project, I contributed to training and evaluating AI models that convert video content into accurate and meaningful textual descriptions, subtitles, or summaries. The project involved analyzing both the visual and audio components of videos to generate context-aware captions and classify content into predefined categories such as education, entertainment, news, or technical tutorials.

In the Video-to-Text Generation and Classification project, I contributed to training and evaluating AI models that convert video content into accurate and meaningful textual descriptions, subtitles, or summaries. The project involved analyzing both the visual and audio components of videos to generate context-aware captions and classify content into predefined categories such as education, entertainment, news, or technical tutorials.

2023 - 2024

labeling

CVATTextEntity Ner Classification

Project NER Classification involved the annotation and validation of named entities within large text datasets to support the training of Natural Language Processing (NLP) models. My role focused on accurately identifying and labeling entities such as persons, organizations, locations, dates, and other context-specific terms across multiple domains.

Project NER Classification involved the annotation and validation of named entities within large text datasets to support the training of Natural Language Processing (NLP) models. My role focused on accurately identifying and labeling entities such as persons, organizations, locations, dates, and other context-specific terms across multiple domains.

2022 - 2023

annotation

Scale AIImageText Generation

In the Image-to-Text Generation project, I worked on training and evaluating AI models designed to generate descriptive and contextually accurate text captions from images. This involved reviewing model outputs, verifying caption relevance, and providing corrective feedback to enhance performance in real-world use cases such as accessibility tools, digital asset management, and search optimization.

In the Image-to-Text Generation project, I worked on training and evaluating AI models designed to generate descriptive and contextually accurate text captions from images. This involved reviewing model outputs, verifying caption relevance, and providing corrective feedback to enhance performance in real-world use cases such as accessibility tools, digital asset management, and search optimization.

2021 - 2023

Education

Work History