Audio data labeling
Providing high-fidelity audio transcription and linguistic data annotation for Azerbaijani and Turkish language models. My role involves converting unstructured audio data into 'Ground Truth' text to train Speech-to-Text (STT) and Natural Language Processing (NLP) systems. Key Responsibilities: Precision Transcription: Delivering 98%+ accurate verbatim and clean-read transcripts. Speaker Labeling: Identifying and tagging multiple speakers in complex conversational environments. Linguistic Validation: Ensuring regional dialects and technical terminology (Energy/Banking) are correctly captured for AI training. Quality Assurance: Consistently meeting high-accuracy benchmarks during qualification and production phases.