Audio Data Annotator
Job Description
The Audio Data Annotator is responsible for reviewing, processing, and labelling audio recordings used in the development of artificial intelligence applications, speech recognition technologies, voice assistants, and machine learning systems. The role involves listening to recorded audio, identifying relevant speech and non-speech elements, categorising sound patterns, and producing structured annotations that support the training and evaluation of AI-powered audio processing models.
The successful candidate will work with different types of audio recordings, including conversations, interviews, voice commands, environmental sounds, and recorded customer interactions. The position requires excellent listening skills, attention to detail, patience, and the ability to distinguish between different speakers, speech patterns, background sounds, and recording conditions.
Key Responsibilities:
Listen to and analyse audio recordings for annotation purposes.
Identify spoken words, phrases, and relevant sound patterns.
Categorise audio recordings according to predefined classification standards.
Identify background noise, environmental sounds, and non-verbal audio events.
Mark speech segments and relevant audio timestamps.
Identify recording quality issues and unclear audio sections.
Review annotated recordings for completeness and accuracy.
Support the preparation of audio datasets for speech recognition models.
Maintain organised documentation of completed annotation assignments.
Collaborate with speech engineers and AI development teams.
Qualifications and Requirements:
Bachelor’s degree in Linguistics, Computer Science, Audio Engineering, or a related field is preferred.
Experience in audio transcription, annotation, or sound classification.
Excellent listening and concentration abilities.
Familiarity with audio editing and annotation platforms.
Strong communication and analytical skills.
Ability to work with different audio formats and recording environments.
