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AI Tutor – Vietnamese

xAI

Computer Science & Engineering Contractor Ongoing
Remote (Global) $35 – $45/hr (US-based; varies for international candidates) April 22, 2026

Job description

About the Role

We are seeking a Vietnamese AI Tutor to support the training of advanced multilingual voice AI systems.

In this role, you will work on audio-based AI training tasks, helping improve speech recognition, voice interaction, and multilingual communication capabilities.

Key Responsibilities

  • Annotate, label, and evaluate multilingual audio data
  • Work with voice recordings, speech samples, and audio clips
  • Provide high-quality voice recordings and feedback
  • Analyze pronunciation, accents, tone, and speech patterns
  • Transcribe audio accurately across varying quality levels
  • Collaborate with technical teams to improve audio AI systems
  • Help refine annotation tools and workflows

Requirements

  • Native-level Vietnamese proficiency with exposure to regional accents
  • English proficiency (minimum B2 level)
  • Strong listening and auditory analysis skills
  • Ability to evaluate pronunciation, tone, and speech nuances
  • Experience with transcription or audio evaluation
  • Strong attention to detail and analytical thinking
  • Ability to work independently in a remote environment

Preferred Qualifications

  • Background in linguistics, phonetics, or speech sciences
  • Experience with AI training, audio datasets, or annotation
  • Experience in voice-related work (voice acting, podcasting, etc.)
  • Familiarity with transcription standards and annotation workflows

Work Details

  • Work Type: Remote
  • Engagement: Flexible (Contractor / Part-time / Full-time)
  • Hours: Typically 10+ hours/week depending on project scope

Location Requirements

  • Open globally (subject to eligibility)
  • US-based candidates: Not hiring in Wyoming or Illinois
  • No visa sponsorship available

About the Opportunity

This role focuses on improving multilingual voice AI systems by enhancing speech understanding, pronunciation modeling, and real-world conversational accuracy across languages.

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