Mohamed A.

Key Skills

Software

Other

Top Subject Matter

Large language models

AI-generated text evaluation

generative AI platforms

Top Data Types

Text

Top Task Types

Text Generation

Classification

Question Answering

Text Summarization

Evaluation/Rating

Computer Programming/Coding

Data Collection

Freelancer Overview

Freelance AI-Assisted Task Specialist. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Engineering, Egypt-Japan University of Science and Technology (2022) and High School Diploma, STEM High School (2021). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Self-Directed AI & Technology Learning

OtherText

I continuously undertook self-directed AI and technology learning, focusing on prompt engineering and AI output evaluation in an academic and independent capacity. This experience centered on the hands-on evaluation of AI tools, participation in model releases, and an active role in community feedback. My engagement ensured up-to-date knowledge of AI capabilities needed for annotation and training tasks. • Practiced prompt engineering and generated varied AI responses for evaluation • Independently assessed outputs for accuracy, reliability, and improvement opportunities • Participated in AI communities, sharing feedback with users and developers • Maintained current knowledge of AI tool evolution relevant to annotation work

2022 - Present

Freelance AI-Assisted Task Specialist

OtherText

As a Freelance AI-Assisted Task Specialist, I performed data annotation, output evaluation, and quality checking of large language models' text responses. My responsibilities included identifying errors, providing improvement feedback, and comparing outputs across diverse AI models. I actively contributed to AI training by flagging hallucinations, logic gaps, and artificial text patterns. • Evaluated and rated AI-generated text for accuracy, naturalness, and detectability • Provided structured feedback to improve language model performance • Conducted cross-model benchmarking and reported quality findings • Developed personal workflows for refining and validating AI outputs

2022 - Present

Education

Work History