Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi, I'm Abdulrahman Shazly, an Atmospheric Physicist and Data Annotation Specialist based in Qena, Egypt. I am pursuing a Bachelor of Science in Atmospheric Physics and Astronomy, and I have hands-on experience with data annotation, AI training platforms, and RLHF workflows. I enjoy evaluating complex datasets, writing precise feedback to improve AI model performance, and applying my strong analytical and problem-solving skills to data verification and linguistic evaluation. I'm eager to collaborate with international teams on AI training projects and continue learning in fast-paced remote environments.…Hi, I'm Abdulrahman Shazly, an Atmospheric Physicist and Data Annotation Specialist based in Qena, Egypt. I am pursuing a Bachelor of Science in Atmospheric Physics and Astronomy, and I have hands-on experience with data annotation, AI training platforms, and RLHF workflows. I enjoy evaluating complex datasets, writing precise feedback to improve AI model performance, and applying my strong analytical and problem-solving skills to data verification and linguistic evaluation. I'm eager to collaborate with international teams on AI training projects and continue learning in fast-paced remote environments.

ABDULRAHMAN SHAZLY

Data Annotator, Data Scientist, Data Analyst, +1





Hi, I'm Abdulrahman Shazly, an Atmospheric Physicist and Data Annotation Specialist based in Qena, Egypt. I am pursuing a Bachelor of Science in Atmospheric Physics and Astronomy, and I have hands-on experience with data annotation, AI training platforms, and RLHF workflows. I enjoy evaluating complex datasets, writing precise feedback to improve AI model performance, and applying my strong analytical and problem-solving skills to data verification and linguistic evaluation. I'm eager to collaborate with international teams on AI training projects and continue learning in fast-paced remote environments.…Hi, I'm Abdulrahman Shazly, an Atmospheric Physicist and Data Annotation Specialist based in Qena, Egypt. I am pursuing a Bachelor of Science in Atmospheric Physics and Astronomy, and I have hands-on experience with data annotation, AI training platforms, and RLHF workflows. I enjoy evaluating complex datasets, writing precise feedback to improve AI model performance, and applying my strong analytical and problem-solving skills to data verification and linguistic evaluation. I'm eager to collaborate with international teams on AI training projects and continue learning in fast-paced remote environments.

Available to hire

Hi, I’m Abdulrahman Shazly, an Atmospheric Physicist and Data Annotation Specialist based in Qena, Egypt. I am pursuing a Bachelor of Science in Atmospheric Physics and Astronomy, and I have hands-on experience with data annotation, AI training platforms, and RLHF workflows.

I enjoy evaluating complex datasets, writing precise feedback to improve AI model performance, and applying my strong analytical and problem-solving skills to data verification and linguistic evaluation. I’m eager to collaborate with international teams on AI training projects and continue learning in fast-paced remote environments.

Skills

Experience Level

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

Arabic

Fluent

English

Advanced

Work Experience

AI Data Annotator & Core Contributor at DataAnnotation.tech

April 1, 2025 - Present

Evaluate and grade AI model responses for accuracy, truthfulness, and adherence to specific formatting and logic constraints. Write detailed, high-quality justification reports explaining model errors and proposing precise corrections. Contribute to Reinforcement Learning from Human Feedback (RLHF) workflows to enhance LLM reasoning capabilities. Analyze and criticize large datasets to train AI models in specialized reasoning and scientific contexts.

Freelance Virtual Assistant at Upwork

November 1, 2025 - Present

Provide administrative and digital support to international clients, improving daily workflow efficiency by 20%. Manage structured data entry tasks, ensuring 100% accuracy and strict organization of client databases. Communicate effectively with cross-functional partners to streamline daily project operations and timelines.