Audio Survey Data Labeller
In this task, participants listen to three audio recordings spoken by the same voice and provide feedback on the voice's characteristics. The goal is to assess how the voice is perceived, based on subjective impressions.
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Bilingual (French-English) IT Specialist and AI Trainer with over 5 years of experience in AI data annotation, model training, and IT system administration. Skilled in tagging and labeling datasets, evaluating AI outputs, and ensuring linguistic and cultural accuracy in multilingual contexts. Certified in Google IT Support and Veeva OpenData, with strong programming skills in Python, JavaScript, Node.js, HTML/CSS, C++, and experience automating IT workflows. Adept at combining technical expertise with AI training capabilities to support global teams in building smarter, more reliable systems.
In this task, participants listen to three audio recordings spoken by the same voice and provide feedback on the voice's characteristics. The goal is to assess how the voice is perceived, based on subjective impressions.
• Created French-language datasets in domains such as computer science, history, and culture to train AI models. • Evaluated AI-generated responses for clarity, factuality, tone, and accessibility. • Conducted linguistic QA to ensure outputs aligned with cultural and contextual standards
Bachelor of Science, Computer Science
Hnd, Computer Engineering
System Administrator
Bilingual IT Support Specialist