Mano Ehab

Key Skills

Software

Appen

Labelbox

Remotasks

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Text

Top Task Types

Classification

Computer Programming Coding

Evaluation Rating

Question Answering

Text Generation

Freelancer Overview

I am a bilingual AI data labeling and evaluation specialist with hands-on experience in Arabic and English NLP, LLM fine-tuning, and conversational AI tasks. I’ve contributed to projects involving text generation evaluation, audio prosody analysis, and multimodal annotation (text, audio, vision). My background in mathematics and computer science strengthens my ability to evaluate technical content such as code correctness and math problem solutions with precision. In addition to labeling, I’ve worked on data visualization using Python (Dash/Plotly), model deployment with ONNX and .NET Web API, and quality assurance tasks for AI model outputs. My ability to work fluently in both Arabic and English allows me to contribute to diverse and multilingual AI systems with cultural and linguistic accuracy.

Labeling Experience

Software Developer

LabelboxTextRelationshipText Generation

Editing and testing codes, writing prompts, writing codes and queries.

Editing and testing codes, writing prompts, writing codes and queries.

2024

Arabic transcriber

AppenAudioText GenerationAudio Recording

Experience in long audio transcription and audio segmentation, Strong reading comprehension skills in English, Native speaker of Arabic

Experience in long audio transcription and audio segmentation, Strong reading comprehension skills in English, Native speaker of Arabic

2024

Annotator tier 1

LabelboxComputer Code ProgrammingClassificationText Generation

I worked on projects involving the evaluation of AI-generated code and problem-solving outputs, focusing on Python, C#, and mathematical logic. My role included verifying the correctness, efficiency, and readability of code snippets generated by large language models (LLMs). I assessed whether the outputs met user instructions, aligned with best practices, and handled edge cases appropriately.

I worked on projects involving the evaluation of AI-generated code and problem-solving outputs, focusing on Python, C#, and mathematical logic. My role included verifying the correctness, efficiency, and readability of code snippets generated by large language models (LLMs). I assessed whether the outputs met user instructions, aligned with best practices, and handled edge cases appropriately.

2024 - 2025

Video Creator

AppenVideoText SummarizationEvaluation Rating

Create videos about specific requirements

Create videos about specific requirements

2023 - 2023

Education

Work History