Mohamed Salhi

Key Skills

Software

Appen

Labelbox

OneForma

Telus

Other

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Text

Top Task Types

Audio Recording

Classification

Data Collection

Text Generation

Text Summarization

Freelancer Overview

As a trilingual AI data specialist with extensive experience in data labeling, annotation, and quality control across Arabic, English, and French, I have consistently delivered high-quality results for clients and supervisors. Over the past three years, I have contributed to projects on platforms such as Veeva, where I have handled tasks including text and audio annotation, dataset verification, and web research to support AI model training. My attention to detail, accuracy, and ability to work independently have earned positive feedback from clients and supervisors. In addition to data annotation, I possess experience in linguistics, multilingual transcription, and customer interaction analysis. This enables me to support projects involving natural language processing, speech recognition, and AI-driven insights. I am committed to delivering high-quality, reliable results and am adaptable to new tools and project requirements, making me a valuable contributor to any AI training initiative.

Labeling Experience

Voice Activity Detection Evaluator / AI Data Annotator

LabelboxAudioEvaluation RatingAudio Recording

This project involved evaluating and labeling audio data to detect voice activity. I followed detailed instructions and video guides to accurately label each audio segment, ensuring the correct identification of speech versus non-speech segments. Performance on the evaluation determined promotion to the production team for paid tasks. The work required careful attention to detail, consistency, and adherence to project guidelines to support AI model training in speech recognition

This project involved evaluating and labeling audio data to detect voice activity. I followed detailed instructions and video guides to accurately label each audio segment, ensuring the correct identification of speech versus non-speech segments. Performance on the evaluation determined promotion to the production team for paid tasks. The work required careful attention to detail, consistency, and adherence to project guidelines to support AI model training in speech recognition

2025 - 2025

Multilingual Text & Prompt Evaluator

AppenTextText SummarizationPrompt Response Writing SFT

The Fireweed project involved evaluating AI-generated prompts in multiple languages. I ensured that all prompts were created in the assigned language, rated responses that did not comply, and provided detailed observations to maintain high-quality standards. This work supported AI model training in natural language processing and multilingual text evaluation, emphasizing accuracy, consistency, and detailed feedback for continuous model improvement.

The Fireweed project involved evaluating AI-generated prompts in multiple languages. I ensured that all prompts were created in the assigned language, rated responses that did not comply, and provided detailed observations to maintain high-quality standards. This work supported AI model training in natural language processing and multilingual text evaluation, emphasizing accuracy, consistency, and detailed feedback for continuous model improvement.

2024 - 2025

Education

Work History