Female Voice Talent for AI Model Training (Australian English)
Job Description
Key Skills Required
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What You’ll Deliver
Voice Samples with the following characteristics:
- Voice Characteristics:
- Female-sounding
- Perceived age: mid 30s
- Personality and Tone:
- Conversational and likeable for customers (e.g., friendly, empathetic, patient)
- Natural and approachable in dialogue
- Intelligent, confident, engaged, and builds trust
- Welcoming and accommodating without being overly earnest or sycophantic
- Ability to convey desired traits (e.g., friendly, confident, helpful)
- Speech Quality and Clarity:
- Easy to follow and clear
- Consistent, moderate pace with natural pauses
Project volume (if selected): ~80 hours of finished audio
Qualifications
- Must be a native speaker of Australian English
- Experience with voice acting, narration, podcasting, or streaming
- Access to a professional or high-quality home recording setup, including:
- Recording software
- Microphone
- Headset/speakers
- Audio Interface
- Professional Digital Audio Workstation, software, plugins
- Treated space, quiet environment, free from background noise
- Able to follow specific technical requirements (volume level, file naming, format, gaps, audio quality)
- Able to provide demo, sample recordings, or voiceover samples
- Comfortable with fast-turnaround projects and tight delivery deadlines
- Open to licensing your voice for AI voice cloning/TTS training
- Possible test in Lilt’s module for vetting
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Lilt is a highly disruptive, enterprise-grade AI translation and localization platform fundamentally designed to make the world's information universally accessible. Founded in 2015 by former Google Translate researchers Spence Green and John DeNero, and headquartered in San Francisco, California, the company operates as the ultimate contextual AI engine for global communications. Under the hood, Lilt seamlessly blends cutting-edge Large Language Models (LLMs) with a proprietary "Human Intelligence Layer"—empowering organizations to orchestrate complex translation workflows, automate technical documentation, and launch multilingual brand campaigns with unprecedented speed. Their primary target audience spans massive Fortune 500 enterprises (including Intel, Canva, and Lenovo), frontier AI developers, and high-security public sector agencies like the U.S. Department of Defense who desperately need defense-grade, SOC 2 compliant localization without sacrificing brand accuracy. What sets Lilt apart in the crowded localization ecosystem is its continuous model improvement and Agentic AI capabilities; instantly retraining its custom algorithms with every human translation to deliver massive cost reductions and up to 5x faster workflows, all while maintaining 100% data control across on-premise and air-gapped environments.
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