Job Overview
Location
Any
Job Type
Full-time
Category
Other
Date Posted
July 9, 2026
Full Job Description
📋 Description
- • Help improve speech AI by validating Vietnamese audio recordings.
- • You'll listen to audio samples and select the correct labels based on provided guidelines, helping build better AI-powered speech recognition for your native language.
- • Evaluate Vietnamese audio recordings by selecting the provided labels.
- • Apply validation guidelines precisely and consistently.
- • Assess accent and pronunciation accuracy specific to the language variant.
- • What you'll get
- • Pay: $0.070 USD per unit.
- • Flexible schedule.
- • Work remotely from home.
- • What you'll need
- • Native speaker of Vietnamese, currently residing in Taiwan or the United States.
- • Fluent in English.
- • Ability to evaluate specific language accents.
- • Quiet environment and laptop/desktop for validation work.
- • This role is a project-based opportunity with CrowdGen, where you will join the CrowdGen Community as an Independent Contractor. If selected, you will receive an email from CrowdGen regarding the creation of an account using your application email address. You will need to log in to this account and reset the password, complete the setup requirements, and proceed with your application for this project-based role.
- • If you’re passionate about precision, language, and AI innovation — we’d love to have you on the team!
🎯 Requirements
- • Native speaker of Vietnamese, currently residing in Taiwan or the United States.
- • Fluent in English.
- • Ability to evaluate specific language accents.
- • Quiet environment and laptop/desktop for validation work.
🏖️ Benefits
- • Pay: $0.070 USD per unit.
- • Flexible schedule.
- • Work remotely from home.
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Appen Limited
Appen Limited is an Australian publicly traded company that provides data annotation, collection, and evaluation services to improve machine-learning models for technology, automotive, and government clients worldwide. Leveraging a global crowd of over one million contributors, it produces high-quality training data for speech recognition, computer vision, search relevance, natural-language processing, and sentiment analysis systems. Founded in 1996 and headquartered in Sydney, Appen supports more than 235 languages and dialects, enabling scalable, accurate datasets that power AI applications across autonomous vehicles, virtual assistants, e-commerce, and social media platforms while emphasizing ethical crowd practices and data security.
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