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AI Trainer Image QA Evaluator

iMerit Technology

Remoteपूर्णकालिकरिमोटUSD 30,000 – 40,000

भूमिका के बारे में

  • Location: South Korea | Remote Engagement: Freelance / Independent Contractor | Project-Based | Part-Time About the Project We are looking for English-speaking Image Quality Evaluators based in South Korea to support AI training and evaluation projects
  • You will review images and assess their quality according to project guidelines, helping improve the accuracy and performance of AI systems
  • You do not need to be Korean
  • We welcome applicants of any nationality who are currently living in South Korea, have lived there for several years, and are highly familiar with Korean culture, everyday life, and local context
  • What You'll Do Evaluate images based on quality standards and project guidelines
  • Identify issues such as blur, poor lighting, noise, exposure, compression, and framing
  • Evaluate visual content with awareness of South Korean cultural and local context
  • Accurately describe and interpret images in English
  • Maintain high accuracy, consistency, and productivity
  • Flag unusual cases or data-quality issues to the project team

Requirements

  • Currently residing in South Korea
  • Legally authorized to work as an independent contractor in South Korea
  • Have a South Korean bank account in your own name to receive payments
  • Have lived in South Korea for several years and have strong familiarity with Korean culture and local context
  • English: C1 level or above
  • Strong attention to detail and ability to follow detailed guidelines
  • Laptop/desktop and reliable internet connection
  • Previous experience in AI, data annotation, transcription, QA, or content evaluation is a plus, but not required
  • Nationality is not a requirement
  • Local knowledge and lived experience in South Korea are
  • Please mention the word **FUTURESTIC** and tag RNDUuMTE1LjIxOS4xMDg= when applying to show you read the job post completely (#RNDUuMTE1LjIxOS4xMDg=)
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आवश्यक कौशल

ai
data annotation
quality assurance
english_language
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