Native or Near-Native Malay/Tamil Voice Actor for AI Speech Data Collection (Singapore)
Job Description
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At CloudFactory, we are a mission-driven team passionate about unlocking the disruptive potential of AI for the world. By combining advanced technology with a global network of talented experts, we make unusable data usable and inference reliable and trustworthy, driving real-world business value at scale.
More than just a workplace, we're a global community founded on strong relationships and the belief that meaningful work transforms lives.
About the Project
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.
What You'll Do
- Record short audio clips in Malay or Tamil based on provided scripts and scenarios.
- Deliver natural, conversational speech using authentic pronunciation, pacing, tone, pauses, and expressions.
- Follow the project's audio quality, privacy, and recording guidelines.
Requirements
You may be a good fit if you:
- Are a native or near-native speaker of Malay or Tamil.
- Were born and raised in Singapore or have spent most of your life in Singapore.
- Speak Malay or Tamil naturally in a way that reflects how the language is commonly used in Singapore.
- Can make scripted content sound natural and conversational rather than simply reading it aloud.
- Have strong pronunciation and verbal communication skills.
- Can follow detailed instructions and maintain consistency across recordings.
- Are comfortable contributing voice recordings to a dataset intended for AI/model training and commercial use.
Experience in voice-over, dubbing, theatre, broadcasting, podcasting, presenting, content creation, or similar voice-based work is strongly preferred.
Recording Requirements
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.
Voice Sample
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.
Important Information About Your Voice Data
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.
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View Company ProfileCloudFactory is a premier, enterprise-grade human-in-the-loop (HITL) AI data platform powerhouse engineered to orchestrate massive-scale data-annotation ecosystems and intelligent, frictionless machine-learning workflows. Operating as a bridge between AI model development and real-world performance, the company eliminates the operational friction of traditional, manual data-labeling models—which frequently suffer from quality-control bottlenecks, opaque edge-case handling, and fragmented workforce management—by seamlessly deploying advanced AI-assisted annotation telemetry, rigorous human-expert validation architectures, and cohesive cross-lifecycle model-monitoring frameworks. Moving beyond rigid legacy data-labeling paradigms, CloudFactory empowers global AI leaders to dynamically synchronize their computer vision, NLP, and RLHF pipelines with elite, scalable, and audit-ready execution. Under the hood, their sophisticated proprietary operational infrastructure—bolstered by a global workforce of 7,000+ expert data analysts—natively manages complex global multi-region data ingestion, instantaneous automated quality-routing, and compliance-hardened security workflows, providing the necessary operational foundation for the modern, high-velocity AI-driven economy. What sets CloudFactory apart is its uncompromising dedication to frictionless operational-orchestration; by bridging the gap between highly technical, performance-intensive AI-training demands and scalable, accessible human-intelligence interfaces, the firm empowers modern engineering organizations to radically accelerate their model-deployment velocity, eliminate systemic quality-bottlenecks, and build an unassailable foundation for continuous commercial and institutional dominance in the modern, AI-transformed global-technology landscape.
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