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Amany Moussa

Egypt flagAl-Hosayneya. Sharqia, Egypt
Entry LevelAppenLabelboxRemotasks

Key Skills

Software

AppenAppen
LabelboxLabelbox
RemotasksRemotasks
Scale AIScale AI
TolokaToloka
Other

Top Subject Matter

No subject matter listed

Top Data Types

ImageImage
TextText
AudioAudio

Top Task Types

No task types listed

Freelancer Overview

I am a detail-oriented professional with extensive experience in data management and micro-task execution across global platforms such as CrowdGen, Toloka, and SproutGigs. I specialize in data classification, content moderation, and search engine evaluation, where I consistently maintain high-quality scores and have a proven track record of achieving 100% accuracy in qualification exams. My background has equipped me with the analytical skills necessary to follow complex project guidelines with precision, ensuring the delivery of high-quality training data for AI models. In addition to my technical skills, I am a fast learner, highly adaptable to new annotation tools, and committed to delivering clean, reliable datasets. I also bring specialized linguistic expertise as a native speaker of the Egyptian Arabic dialect, which is a valuable asset for Natural Language Processing (NLP) projects. My goal is to leverage my experience in data verification and categorization to help improve machine learning performance and ensure the development of accurate, unbiased AI systems.

Entry Level

Labeling Experience

Search Intent & Relevance Evaluation (Arabic Language)

TextClassification
"I conducted high-precision evaluation and rating of search engine results to determine their relevance to specific user queries. The project involved analyzing search intent, identifying high-quality landing pages, and flagging low-quality or misleading content. I followed complex annotation guidelines to ensure the data provided to the ranking algorithm was accurate and met the required quality benchmarks."

"I conducted high-precision evaluation and rating of search engine results to determine their relevance to specific user queries. The project involved analyzing search intent, identifying high-quality landing pages, and flagging low-quality or misleading content. I followed complex annotation guidelines to ensure the data provided to the ranking algorithm was accurate and met the required quality benchmarks."

2024 - Present

Education

N

N/A

Bachelor of Commerce, Commerce

Bachelor of Commerce
Not specified

Work History

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