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Data Annotation Tech
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ClassificationEvaluate AI-generated responses for quality, accuracy, relevance, and adherence to instructions, while annotating and classifying data to support model training and performance improvement. Identify errors, inconsistencies, and potential bias within AI outputs, and provide structured feedback to enhance response quality and model effectiveness. Work in accordance with quality assurance standards while maintaining accuracy and consistency when handling large datasets independently.
I have experience as a general AI trainer with Data Annotation. I also studied AI for my university dissertation, 'AI & Mix Engineering: Implications for the Music Industry'.
First-Class Honours, BA (Hons) Music Business & Production
Distinction, Level 3 Diploma in Music Production
AI Trainer
Mix Engineer & Music Producer
