I have worked with both outlier and afterquerry successfully over years in audio transcription and data annotation in general
Audio
TranscriptionIn my data annotation and AI training projects, I was responsible for transcribing and reviewing audio data to create accurate, high-quality text datasets used for machine learning model development. The scope of the work involved listening to audio recordings from various speakers, accents, and environments, converting spoken content into written text, correcting grammar and punctuation where required by project guidelines, and verifying transcript accuracy against the original audio. Project sizes ranged from hundreds to thousands of audio segments, requiring consistent productivity while maintaining strict quality standards. Quality was measured through transcription accuracy, completeness, adherence to formatting guidelines, speaker identification, timestamp requirements when applicable, and quality assurance reviews. I consistently met project expectations by carefully reviewing my work, maintaining high attention to detail, and following client-specific standards to ensure reliable training data for AI systems.