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Note : 3 months contract (project) based on performance contract will be extended.

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.).

Role & 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.

Preferred candidate profile

• 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.
• 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: Bachelors 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.

🔹 Interview Process: Face-to-face
🔹 Working Days: 6 days a week
🔹 Daily Lineup: 20 candidates
🔹 Contract Type: 3 months
🔹 Designation: Audio Annotator
🔹 Location: Bangalore (Head Office)
🔹 Salary: Up to ₹31K CTC