About the role
Job Description
Audio Annotation Trainer – English (US)
Employment Type:
Part-time, remote, project-based
Job Overview
Record, review, and deliver high-quality American English voice data to train and improve advanced AI speech models. This role requires strong voice acting abilities to convey emotions, tones, and speaking styles while following detailed recording guidelines.
Key Responsibilities
- Record professional-quality English (US) voice-over audio from a home studio or approved environment.
- Perform scripts with accurate pronunciation, emotional expression, pacing, and vocal consistency.
- Interpret recording instructions and adapt voice delivery based on creative direction.
- Revise recordings based on reviewer feedback to meet quality standards.
- Deliver completed audio files in required format within project deadlines.
- Ensure recordings meet technical quality standards (minimal background noise, clear audio).
- Support AI model development by producing accurate, high-quality voice datasets.
- Maintain confidentiality and comply with project documentation and QA requirements.
Candidate Requirements
- Currently residing in the United States.
- Previous professional experience in voice acting, voice-over production, audio narration, or related performance work.
- Strong vocal control, articulation, emotional expression, and voice versatility.
- Native or near-native proficiency in English (US) with clear pronunciation.
- Access to professional or high-quality recording equipment suitable for remote recording.
- Ability to follow detailed recording guidelines and incorporate feedback effectively.
- Strong time management skills with the ability to meet deadlines independently.
- Experience with dubbing, ADR, localization, or voice localization projects is highly preferred.
- Demo reel showcasing different voice styles and performance capabilities is highly preferred.
- Background in acting, performing arts, theater, broadcasting, or related creative fields is an advantage.
- Familiarity with audio editing software and basic audio production workflows is preferred.
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