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Ghada Hussien

Ghada Hussien

AI Quality Assurance Engineer - Technology & Internet

EGYPT flag
Belqas, Egypt
$7.00/hrIntermediateOther

Key Skills

Software

Other

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio
TextText

Top Label Types

Audio Recording
Evaluation Rating
Function Calling
Prompt Response Writing SFT
Question Answering
Text Generation
Text Summarization
Transcription
Translation Localization

Freelancer Overview

I am a detail-oriented AI Quality Assurance Engineer with hands-on experience in data labeling, annotation, and AI training data validation for large-scale machine learning systems, including Uber’s CoreML platform. My work spans multilingual and contextual testing, bias and accuracy analysis, and continuous model improvement, ensuring reliable and fair AI outputs across diverse domains such as e-commerce, healthcare, and customer service. I excel at collaborating with data scientists and engineers to refine training data standards and evaluation metrics, using tools like Postman, Jira, and Selenium to streamline annotation workflows and accelerate model iterations. My background in manual and automated testing, combined with my ISTQB certifications and experience mentoring QA teams, enables me to deliver high-quality, actionable feedback that drives measurable improvements in AI model performance and data quality.

IntermediateEnglishArabicPersian Farsi

Labeling Experience

AI Data Annotation & Model Evaluation – Huawei

OtherTextEvaluation RatingPrompt Response Writing SFT
Participated in AI data annotation and linguistic labeling projects for Huawei, focusing on improving the quality of training datasets used for language models and AI systems. Tasks included labeling and validating multilingual text and audio data, ensuring linguistic accuracy, cultural relevance, and consistency. Conducted quality checks and feedback loops to enhance AI model reliability and overall performance.

Participated in AI data annotation and linguistic labeling projects for Huawei, focusing on improving the quality of training datasets used for language models and AI systems. Tasks included labeling and validating multilingual text and audio data, ensuring linguistic accuracy, cultural relevance, and consistency. Conducted quality checks and feedback loops to enhance AI model reliability and overall performance.

2025

AI Data Labeling & Quality Evaluation – Uber

OtherAudioQuestion AnsweringText Generation
Worked on large-scale AI data labeling and quality evaluation projects supporting Uber’s Core Machine Learning systems. Responsibilities included annotating and reviewing multilingual datasets, validating AI-generated outputs, detecting accuracy issues, bias, and inconsistencies, and providing structured feedback to improve model performance. Collaborated with cross-functional teams to ensure high-quality training data and reliable AI model behavior across multiple use cases.

Worked on large-scale AI data labeling and quality evaluation projects supporting Uber’s Core Machine Learning systems. Responsibilities included annotating and reviewing multilingual datasets, validating AI-generated outputs, detecting accuracy issues, bias, and inconsistencies, and providing structured feedback to improve model performance. Collaborated with cross-functional teams to ensure high-quality training data and reliable AI model behavior across multiple use cases.

2025

Education

M

Mansoura University

Bachelor of Arts, Oriental Languages

Bachelor of Arts
2018 - 2022

Work History

U

Uber – CoreML Data Operations / Uber Scaled Solutions

AI Quality Assurance Engineer

San Francisco
2025 - Present
S

Semi Corner

Software Test Engineer & Mentor

Cairo
2024 - Present