Advanced Trainer in AI at Invisible technologies (Remote)
Provided AI training dataset development and optimization to ensure high-quality, accurate annotations and validation of training data. Performed data validation and quality assurance tasks to maintain consistency and correctness of both training data and model outputs. Analyzed model performance using feedback loops to implement iterative improvements and optimize AI solutions for VQA and related tasks. • Ensured annotations from machine learning models met quality and integrity standards. • Validated dataset consistency and corrected issues affecting model outputs. • Reviewed multilingual video content to tag whether dubbed voice was human or synthetic. • Used tagging and feedback to improve voice detection models.