[Vietnamese - Japan] - Voice Recording Specialist

Join our team as an Independent Contractor for Project Morava.

Project Morava aims to help build more natural and intelligent voice AI systems by collecting high-quality speech data from native speakers.

In this project, participants contribute by reading and recording short, scripted prompts in Vietnamese. These recordings are used to train and evaluate speech recognition models, enabling voice assistants and AI systems to better understand and respond to real-world users.

Project Benefits

• The entire task takes approximately 2 hours, including time to review the guidelines
• Work on your own schedule
• Participate from anywhere within Japan
• Record scripted prompts on your smartphone using the Appen Mobile app

Task Summary
You will use the Appen Mobile app on your smartphone to record 200 short, scripted voice prompts in Language. Each prompt is a brief spoken command — natural, everyday language. Simply read each prompt clearly and naturally, and you're done.

Requirements

• Must be a fluent speaker of Vietnamese
• Must be currently residing in Japan
• Must be 18 years old or above
• Must have a smartphone compatible with the Appen Mobile app

Payment
Get paid for just 2 hours of work — completed entirely on your smartphone, on your own schedule. Payment is issued only for completed 200-prompt sessions that pass our quality check. The quality bar is simple to hit: just follow the recording guidelines, speak clearly and naturally, and you're good to go. If assigned fewer than 200 prompts, payment is adjusted proportionally.

Please Note
This project follows a first-come, first-served approach and operates with demographic quotas to ensure fair and balanced representation across all participant groups. As a result, some individuals may not receive a task assignment if their group has already been filled.

Join us in shaping the future of voice AI. Your participation in Project Morava will directly help improve how technology understands and responds to real human speech.

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