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Alignerr

Voice Talent - UK English

About this role

About the Role 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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