About the Company
Google’s mission is to organize the world’s information and make it universally accessible and useful. As a leader in technology, AI, and data innovation, we are constantly pushing the boundaries of what’s possible. We believe in fostering a collaborative, inclusive, and dynamic environment where every voice is heard, and every contribution makes a difference. Join us in shaping the future of information and technology.
Job Description
We are seeking a detail-oriented and passionate Audio Sample Labeler with a focus on music and voice to join our remote team. In this role, you will play a crucial part in improving Google’s audio-based AI and machine learning models by accurately annotating and categorizing various audio data. This position is ideal for individuals with a keen ear, an understanding of musical structures, and an ability to discern nuances in human speech. You will work independently to analyze, tag, and segment audio files, contributing directly to the quality and effectiveness of cutting-edge voice recognition, music identification, and other audio-driven technologies.
Key Responsibilities
- Accurately label and transcribe audio samples, identifying specific sounds, speech patterns, and musical elements.
- Categorize audio content based on predefined guidelines, including genre, instrumentation, vocal characteristics, and emotional tone.
- Segment audio files into distinct units, marking start and end times for specific events (e.g., speech, music, silence).
- Identify and report any anomalies, inconsistencies, or technical issues within the audio data.
- Contribute to the refinement of labeling guidelines and best practices.
- Maintain high levels of accuracy and efficiency in a fast-paced, remote work environment.
- Collaborate with team leads and quality assurance specialists to ensure data quality standards are met.
Required Skills
- Excellent active listening skills and a keen ear for audio details.
- Strong understanding of musical concepts, genres, and instrumentation.
- Proficiency in distinguishing various speech characteristics, accents, and emotional tones.
- Exceptional attention to detail and ability to follow complex guidelines precisely.
- Strong organizational skills and ability to manage time effectively to meet deadlines.
- Comfortable working independently in a remote setting.
- Proficiency with standard computer software and web-based annotation tools.
Preferred Qualifications
- Background or academic experience in music theory, sound engineering, linguistics, or related fields.
- Prior experience with audio annotation, transcription, or data labeling.
- Familiarity with various audio file formats and basic audio editing software.
- Experience working with large datasets and contributing to AI/ML projects.
- Ability to adapt to evolving project requirements and feedback.
Perks & Benefits
- Comprehensive health, dental, and vision insurance.
- Paid time off and holidays.
- Remote work setup allowance.
- Access to Google's extensive learning and development resources.
- Employee assistance programs.
- Opportunities for career growth within a leading global technology company.
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
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