Mohamed El Habbal

Key Skills

Software

Clickworker

Data Annotation Tech

Remotasks

Scale AI

Other

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Document

Image

Top Task Types

Computer Programming Coding

Data Collection

Text Summarization

Translation Localization

Freelancer Overview

I have extensive experience in data labeling and AI training data management, with a strong focus on ensuring high-quality, accurate datasets for machine learning models. My expertise spans various domains, including image annotation, text classification, and audio transcription. I am skilled in using advanced labeling tools and platforms, and I have a deep understanding of annotation guidelines and quality assurance processes. My ability to manage and oversee large-scale labeling projects ensures that data is consistently reliable and meets the required standards for AI model training. Throughout my career, I have worked on projects that required meticulous attention to detail, such as annotating complex datasets for natural language processing and computer vision applications. My qualifications are enhanced by my proficiency in scripting languages like Python, which I use to automate repetitive tasks and improve labeling efficiency. My collaborative approach and commitment to continuous learning have enabled me to contribute effectively to multidisciplinary teams, driving the success of AI initiatives.

Labeling Experience

Outlier

OtherComputer Code ProgrammingText Generation

At Outlier, I serve as a Mathematics and Coding AI Trainer, where I play a pivotal role in developing and refining AI models. My work involves creating and curating high-quality datasets, designing complex algorithms, and applying mathematical principles to optimize AI systems. I focus on enhancing model accuracy and performance through rigorous data analysis, coding, and algorithm development. In this role, I leverage my expertise in mathematics to solve intricate problems, enabling the AI models to better understand and interpret complex patterns. Additionally, I use my coding skills to implement efficient solutions and automation processes, ensuring that the models are not only accurate but also scalable and robust. My contributions directly impact the effectiveness of AI applications, driving innovation and excellence in AI training at Outlier.

At Outlier, I serve as a Mathematics and Coding AI Trainer, where I play a pivotal role in developing and refining AI models. My work involves creating and curating high-quality datasets, designing complex algorithms, and applying mathematical principles to optimize AI systems. I focus on enhancing model accuracy and performance through rigorous data analysis, coding, and algorithm development. In this role, I leverage my expertise in mathematics to solve intricate problems, enabling the AI models to better understand and interpret complex patterns. Additionally, I use my coding skills to implement efficient solutions and automation processes, ensuring that the models are not only accurate but also scalable and robust. My contributions directly impact the effectiveness of AI applications, driving innovation and excellence in AI training at Outlier.

2024

freelancer at UHRS

ClickworkerImageData Collection

In UHRS (Universal Human Relevance System), my role involves data labeling to support the training and improvement of AI systems. I engage in tasks such as image annotation, text categorization, sentiment analysis, and relevance evaluation. By labeling and categorizing data accurately, I help ensure that machine learning models are trained on high-quality datasets, leading to better performance and more accurate predictions. Key aspects of my work include following detailed guidelines to maintain consistency, reviewing and refining labeled data to meet quality standards, and collaborating with other labelers to ensure uniformity in data interpretation. My attention to detail and commitment to quality help enhance the reliability and effectiveness of AI applications across various domains, from search engines to content moderation and recommendation systems.

In UHRS (Universal Human Relevance System), my role involves data labeling to support the training and improvement of AI systems. I engage in tasks such as image annotation, text categorization, sentiment analysis, and relevance evaluation. By labeling and categorizing data accurately, I help ensure that machine learning models are trained on high-quality datasets, leading to better performance and more accurate predictions. Key aspects of my work include following detailed guidelines to maintain consistency, reviewing and refining labeled data to meet quality standards, and collaborating with other labelers to ensure uniformity in data interpretation. My attention to detail and commitment to quality help enhance the reliability and effectiveness of AI applications across various domains, from search engines to content moderation and recommendation systems.

2024

Education

Work History