Menna Hasan

Key Skills

Software

Appen

Data Annotation Tech

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Top Task Types

Audio Recording

Classification

Data Collection

Evaluation Rating

Prompt Response Writing SFT

Freelancer Overview

I worked as an AI Tutor at Alignerr, where I helped train AI systems by writing prompts, evaluating the quality of AI-generated responses in Egyptian Arabic, Modern Standard Arabic (MSA), and Romanized Arabic, and labeling data like images and audio. I also worked on transcription and audio recording tasks on Crowdgen, making sure everything followed the given guidelines.

Labeling Experience

Data Labeling

AppenAudioData CollectionAudio Recording

This project aimed to improve speech recognition for Egyptian Arabic. My responsibilities included recording clear, high-quality audio in Egyptian Arabic and transcribing audio files to enhance the accuracy of speech recognition models. I followed strict linguistic and quality guidelines to ensure the transcriptions captured the nuances of the dialect, contributing to the improvement of AI-driven speech recognition systems.

This project aimed to improve speech recognition for Egyptian Arabic. My responsibilities included recording clear, high-quality audio in Egyptian Arabic and transcribing audio files to enhance the accuracy of speech recognition models. I followed strict linguistic and quality guidelines to ensure the transcriptions captured the nuances of the dialect, contributing to the improvement of AI-driven speech recognition systems.

2024

AI Tutor

LabelboxTextText GenerationEvaluation Rating

This project focused on improving multilingual AI systems, particularly for Arabic dialects, on behalf of a leading social media and technology company. I contributed as part of a global team working across different data types and languages. My tasks included writing and reviewing prompts, evaluating AI-generated responses in Egyptian Arabic, Modern Standard Arabic (MSA), and Romanized Arabic, and labeling image. All work followed strict guidelines to ensure consistency, accuracy, and linguistic relevance. Quality was monitored through regular reviews, adherence to annotation instructions, and performance scores to maintain high data standards throughout the project.

This project focused on improving multilingual AI systems, particularly for Arabic dialects, on behalf of a leading social media and technology company. I contributed as part of a global team working across different data types and languages. My tasks included writing and reviewing prompts, evaluating AI-generated responses in Egyptian Arabic, Modern Standard Arabic (MSA), and Romanized Arabic, and labeling image. All work followed strict guidelines to ensure consistency, accuracy, and linguistic relevance. Quality was monitored through regular reviews, adherence to annotation instructions, and performance scores to maintain high data standards throughout the project.

2024

Education

Work History