Voice Talent – UK English

Voice Actor / Voice-Over Artist — UK English (AI Speech Training)

What if your voice could directly shape how AI understands and communicates with millions of people? We’re looking for professional UK English voice actors and voice-over artists to participate in paid studio recording sessions — helping leading AI research teams build speech systems that sound genuinely human.

This is a contract role for experienced voice talent based in the United Kingdom. Your voice won’t be cloned — this is about capturing authentic, natural human speech to improve how AI listens and responds.

• Organisation: Alignerr
• Type: Contract
• Session Format: 4-hour recording sessions (2–3 sessions total)
• Accent: UK English (region-specific)

What You’ll Do

• Record natural, conversational UK English speech in a professional studio environment
• Participate in single-speaker sessions and dual-speaker dialogue recordings
• Bring authentic, unscripted-sounding delivery to a range of everyday conversational scenarios
• Follow light direction on tone, pacing, and delivery style
• Collaborate with session coordinators to ensure high-quality, consistent recordings

Who You Are

• A professional voice actor or voice-over artist with real recording experience
• A native or near-native UK English speaker with a strong, authentic regional accent
• Comfortable performing natural dialogue and conversational speech on cue
• Reliable, professional, and receptive to direction in a studio setting
• Based in the United Kingdom in the region matching your accent

Nice to Have

• Acting or performance background
• Experience in broadcast, podcasting, or commercial voice-over work
• Prior in-studio recording experience across different formats

Why Join Us

• Work on cutting-edge AI speech projects alongside leading research labs
• Contribute to technology that makes AI sound more natural and human for UK audiences
• Competitive contract compensation for a focused, time-limited commitment
• Be part of meaningful AI development that has a real-world impact on how machines understand human speech
• Potential for additional sessions and ongoing project involvement

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