Zalatárnok, Zala, Hungary
• Performing high-quality data annotation, image labeling, and text classification to train AI and machine learning models. • Conducting rigorous Quality Assurance (QA) and quality control on datasets to ensure maximum accuracy and adherence to guidelines. • Transcribing and evaluating audio data across benchmarking platforms. • Identifying data inconsistencies and providing feedback to improve model performance.
• Evaluated and scored Hungarian audio transcription datasets to improve automatic speech recognition (ASR) and AI language models. • Reviewed and quality-tested 250 audio clips per project, ensuring high accuracy and precise documentation. • Delivered high-quality testing results under tight deadlines in collaboration with Centific’s data validation teams.