Muhammad Fekry

Key Skills

Software

Appen

Clickworker

Other

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Text

Video

Top Task Types

Classification

Entity Ner Classification

Text Generation

Text Summarization

Translation Localization

Freelancer Overview

I bring a diverse background in digital marketing, content creation, and fact-checking, which translates into strong skills in evaluating online content, identifying misinformation, and ensuring data accuracy. I’ve worked on projects involving ad evaluation, social media monitoring, and educational content production, particularly in both Arabic and English. My experience in scripting for whiteboard animation and working with structured content makes me highly detail-oriented and capable of following complex guidelines. I am passionate about supporting AI systems through accurate and high-quality data labeling, especially in the fields of media, education, and communication.

Labeling Experience

Fact-Checking Facebook Posts – Uolo-P

AppenTextClassificationData Collection

Participated in Uolo-P project focused on fact-checking Arabic Facebook posts to support misinformation detection systems. Tasks included reviewing user-generated content, verifying claims using credible sources, classifying content into categories such as "false," "partly false," or "true," and writing clear rationales. Ensured alignment with Facebook’s content and misinformation policies. This work helped train AI systems to better detect and flag misleading content on social platforms.

Participated in Uolo-P project focused on fact-checking Arabic Facebook posts to support misinformation detection systems. Tasks included reviewing user-generated content, verifying claims using credible sources, classifying content into categories such as "false," "partly false," or "true," and writing clear rationales. Ensured alignment with Facebook’s content and misinformation policies. This work helped train AI systems to better detect and flag misleading content on social platforms.

2024 - 2025

Prompt Writing & LLM Response Evaluation – Fireweed

AppenTextQuestion AnsweringText Generation

Participated in Fireweed project focused on crafting prompts and evaluating AI-generated responses to support the training and fine-tuning of large language models (LLMs). Tasks included creating high-quality, diverse prompts in both Arabic and English, assessing model completions based on accuracy, coherence, helpfulness, and tone. Provided detailed feedback and classifications aligned with strict quality and linguistic guidelines. Contributed to improving model understanding of complex instructions and nuanced user intent.

Participated in Fireweed project focused on crafting prompts and evaluating AI-generated responses to support the training and fine-tuning of large language models (LLMs). Tasks included creating high-quality, diverse prompts in both Arabic and English, assessing model completions based on accuracy, coherence, helpfulness, and tone. Provided detailed feedback and classifications aligned with strict quality and linguistic guidelines. Contributed to improving model understanding of complex instructions and nuanced user intent.

2024 - 2025

Ad Quality and Policy Evaluation – Ogden

AppenImageEvaluation Rating

Worked on the Ogden project evaluating advertisements displayed across social media platforms. Tasks involved reviewing both text and image components of ads to assess their compliance with community guidelines, policy adherence, and user relevance. Rated ad quality based on factors such as clarity, target accuracy, and appropriateness. Ensured multilingual support with a focus on Arabic and English content. Maintained high accuracy and consistency through weekly quality reviews and calibration sessions.

Worked on the Ogden project evaluating advertisements displayed across social media platforms. Tasks involved reviewing both text and image components of ads to assess their compliance with community guidelines, policy adherence, and user relevance. Rated ad quality based on factors such as clarity, target accuracy, and appropriateness. Ensured multilingual support with a focus on Arabic and English content. Maintained high accuracy and consistency through weekly quality reviews and calibration sessions.

2023 - 2024

Education

Work History