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We are looking for native or near-native Malay and Tamil speakers in Singapore to contribute to a short-term speech data collection project supporting the development of AI and speech technologies.
You will record short spoken audio clips based on provided scripts and conversational scenarios. Topics will include everyday conversations, consumer banking interactions, and health-related scenarios.
This is not simply a read-the-script exercise. The recordings should sound natural and conversational, and some prompts may need to be rephrased while preserving their intended meaning.
The expected scope is approximately 2–3 hours of final, accepted audio per speaker, made up of short clips generally lasting 5–20 seconds.
You may be a good fit if you:
Experience in voice-over, dubbing, theatre, broadcasting, podcasting, presenting, content creation, or similar voice-based work is strongly preferred.
You will need access to a quiet, controlled recording environment and suitable equipment capable of producing high-quality WAV audio.
Recordings must be delivered raw and unprocessed. Noise suppression, audio enhancement, compression, EQ, voice transformation, pitch shifting, AI cleanup, or other post-processing must not be applied.
Detailed technical and recording instructions will be provided before recording begins.
Shortlisted candidates will be asked to provide approximately one minute of raw, unprocessed voice recordings.
The sample will help us assess naturalness, pronunciation, audio quality, recording environment, and suitability for the project.
AI-generated speech, text-to-speech, voice cloning, or voice conversion may not be used to produce any recordings.
Before participating, selected contributors will be required to provide written consent covering the collection and use of their recordings.
The recordings will form part of a dataset intended for AI/model training and commercial use, and the associated usage rights will be perpetual and irrevocable.
Full consent and project documentation will be provided for review before participation begins.
Bridge the gap between your AI’s promise and its real-world performance. Our technology and talent help you develop, deploy, and operate reliable, trustworthy AI from idea to production faster. We ensure your data is ready for reliable AI models, improve performance with continuous feedback loops, and close the confidence gap by making your AI systems accurate and safe at scale.
We achieve this by combining machine and human intelligence. Our modular and flexible AI platform uses a human-in-the-loop approach to correct errors and edge cases that automation alone can’t handle, continuously improving model performance. With an inference-centric methodology, unique datasets, and our skilled professionals, we enable ML teams to build better AI solutions for real-world problems, ensuring seamless development and monitoring that speeds up production and drives real financial impact.
Founded in 2010, CloudFactory is on a mission to empower talented people around the world to become the skilled humans in the loop vital for unlocking AI's full potential. We’re on four continents, with offices in the UK, the US, Germany, Kenya, and Nepal. To learn more, visit www.cloudfactory.com.
