Job Description: Audio Annotation Specialist
Position Summary: The Audio Annotation Specialist is responsible for reviewing, labeling, and annotating audio files to prepare them for use in research, machine learning models, or other applications. This role requires a keen attention to detail, familiarity with audio tools, and a strong understanding of the context in which audio is being used (e.g., speech recognition, sound event detection, etc.).
Key Responsibilities:
Audio Transcription: Convert audio recordings into accurate text, ensuring correct punctuation, grammar, and speaker identification.
Speaker Labeling: Identify and label different speakers in multi-speaker environments, ensuring proper segmentation.
Emotion & Sentiment Annotation: Label and categorize the emotional tone or sentiment of the speaker's voice (e.g., happy, angry, neutral).
Noise and Event Labeling: Annotate non-speech sounds (e.g., background noises, environmental sounds) and tag key events within the audio.
Phonetic or Linguistic Annotation: Mark phonetic features or annotate linguistic structures (such as syllables or intonation) for more advanced analysis.
Quality Control: Ensure the quality and accuracy of annotated data by reviewing and verifying previous annotations.
Collaboration: Work with cross-functional teams (such as data scientists, developers, or linguists) to ensure that annotations align with project goals.
Use of Annotation Tools: Familiarity with audio annotation software such as Audacity, ELAN, Praat, or custom platforms used by your employer.
Required Skills and Qualifications:
Attention to Detail: Ability to listen to audio recordings carefully and make accurate annotations.
Proficiency with Audio Tools: Experience with audio editing and annotation software.
Strong Communication: Clear, concise communication skills for transcribing and tagging spoken content.
Understanding of Linguistics or Speech Patterns: Background knowledge of linguistics can be a plus, particularly for advanced annotation tasks.
Experience in Data Annotation: Prior experience with any kind of data annotation (audio, video, or text) is often preferred.
Familiarity with AI/ML Terminology: A basic understanding of how annotated data is used in machine learning applications.
Preferred Skills:
Knowledge of multiple languages, especially in multilingual projects.
Experience with transcription or captioning.
Understanding of audio formats and audio processing techniques.
Education and Experience:
Education: Bachelor’s degree in Linguistics, Computer Science, Data Science, Communications, or a related field is often preferred.
Experience: Prior experience in audio-related fields, transcription, or data annotation.
Employment Type:
Full-time
On-site
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