Remote Vietnamese Language AI Trainer & QA Specialist

Rise Data Labs

South Africa

Remote

ZAR 138,000 - 207,000

Full time

2 days ago
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Benefits offered by this job

Competitive hourly rates
Flexible working hours
Remote-friendly

Job summary

Rise Data Labs is seeking a Vietnamese Linguistic AI Training Specialist to contribute high-quality data annotation and labeling for multilingual AI projects. You will apply your linguistic expertise to improve model accuracy and ensure linguistic nuances are correctly captured.

This remote-friendly role offers flexible hours and the opportunity to work with cross-functional teams worldwide on diverse AI training projects.

Qualifications

  • Fluency in Vietnamese (native level) with strong understanding of dialects and cultural context.
  • Proficient in English, enabling effective communication with teams.
  • Experience in data annotation, content review, or AI training roles.
  • Strong attention to detail and commitment to quality assurance.

Responsibilities

  • Train and improve AI models through precise data annotation and labeling.
  • Review and validate AI-generated content for linguistic accuracy and contextual relevance.
  • Provide domain expertise to enhance AI model performance, focusing on Vietnamese language nuances.
  • Collaborate with cross-functional teams on various AI training projects across different fields.
  • Ensure high-quality data for machine learning applications by maintaining rigorous quality assurance standards.

Skills

Vietnamese fluency
English proficiency
Data annotation experience
Quality assurance

Tools

Annotation tools

Job description

Rise Data Labs is seeking a Vietnamese Linguistic AI Training Specialist to contribute high-quality data annotation and labeling for multilingual AI projects. You will apply your linguistic expertise to improve model accuracy and ensure linguistic nuances are correctly captured.

This remote-friendly role offers flexible hours and the opportunity to work with cross-functional teams worldwide on diverse AI training projects.

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