
Native Danish speaker with strong listening comprehension, exceptional attention to detail, and a proven ability to accurately evaluate, classify, and annotate digital content according to strict project guidelines. Experienced in data annotation, content evaluation, quality assurance, and AI-related projects requiring consistency, precision, and independent decision-making.
Skilled at working with audio, language, and multilingual datasets while maintaining high-quality standards across repetitive and detail-oriented tasks. Comfortable identifying speech patterns, distinguishing between multiple speakers, and working with recordings containing background noise and overlapping conversations. Seeking to contribute to Project Kawaii by leveraging strong analytical skills, linguistic awareness, and dedication to accurate audio annotation.
* Reviewed and annotated audio recordings used for speech recognition and voice assistant training.Reviewed and annotated audio recordings used for speech recognition and voice assistant training.Reviewed and annotated audio recordings used for speech recognition and voice assistant training.
* Identified speaker changes and applied timestamp-based labels according to detailed project guidelines.
* Distinguished between primary speakers, system responses, and background speech within complex recordings.
* Maintained high annotation accuracy across datasets containing multiple speakers and varying noise, conditions.
Danish Institute of Language Technology
2022 – 2023
Nordic Digital Skills Academy
2023 – 2024