Data Annotation Specialist (Text, Audio, Image)/ Project QA / Transcription & Speech Recognition QA specialist
Worked on multiple remote AI development projects focused on improving machine learning and conversational AI systems through high-quality data annotation, evaluation, and quality assurance. Responsible for labeling and reviewing text, audio, and image datasets used to train AI models, ensuring accuracy, consistency, and compliance with project guidelines. Performed text annotation and chatbot response evaluation, assessing linguistic quality, contextual relevance, and factual accuracy. Contributed to audio and speech recognition projects by transcribing recordings, validating automated speech-to-text outputs, and correcting transcription errors to improve model performance. Conducted quality assurance reviews on annotated datasets, identifying inconsistencies, resolving edge cases, and providing feedback to annotators and project teams. Collaborated with cross-functional teams including linguists, engineers, and data scientists to refine annotation guidelines, maintaining qualiity