About the Company
Appen is a global leader in data for the AI lifecycle. We provide data that enables the world’s most innovative companies to build, train, and improve their artificial intelligence systems. Our expertise spans across speech, image, text, and video data, supporting a diverse range of AI applications worldwide. Join our global crowd of remote workers and contribute to shaping the future of AI.
Job Description
We are seeking a highly detail-oriented and self-motivated Audio Sample Labeler with a focus on music and voice to join our remote team. This is a work-from-home (WFH) contract position where you will play a crucial role in improving AI models by accurately annotating and categorizing audio data. Your primary tasks will involve listening to various audio samples, identifying specific elements related to music (e.g., genre, instrumentation, mood) and voice (e.g., speaker identification, emotion, transcription accuracy), and applying precise labels according to project guidelines. This role requires excellent listening skills, a keen eye (or ear!) for detail, and the ability to work independently in a fast-paced environment.
Key Responsibilities
- Listen to and analyze diverse audio samples, including speech and musical content.
- Accurately label and categorize audio data based on predefined guidelines and taxonomies.
- Identify and tag specific features within audio, such as speaker characteristics, emotional tone, musical instruments, genres, and vocal styles.
- Maintain high levels of accuracy and consistency in all labeling tasks.
- Provide constructive feedback on project guidelines and tools to improve efficiency and quality.
- Adhere to strict data privacy and security protocols.
- Manage time effectively to meet daily and weekly production targets.
Required Skills
- Excellent listening comprehension and auditory discrimination skills.
- Strong attention to detail and accuracy.
- Proficiency in using web-based tools and basic computer applications.
- Ability to understand and follow complex instructions in English.
- Reliable high-speed internet connection and a quiet home workspace.
- Self-motivated and able to work independently with minimal supervision.
Preferred Qualifications
- Prior experience in audio annotation, data labeling, or transcription.
- Background or strong interest in music theory, production, or performance.
- Experience with different audio file formats and sound editing software (basic level).
- Familiarity with linguistic concepts or phonetic transcription.
- Ability to work efficiently under time constraints.
Perks & Benefits
- Flexible work schedule, allowing you to choose your hours.
- Opportunity to work from the comfort of your home (100% remote).
- Contribute to cutting-edge AI and machine learning projects.
- Access to a global community of remote workers.
- Continuous learning and development opportunities in the AI data space.
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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