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AI Data Trainer - Korean Language Annotation (Part-Time) - Remote

Posted 4 days ago
All others
Part Time
Canada
30CAD/hour

Overview

The AI Data Trainer role focuses on enhancing machine learning models through precise data labeling and auditing, specifically for the Korean language. This part-time position allows you to work remotely from Canada while contributing to the improvement of AI systems.

In Short

  • Part-time independent contractor position.
  • Remote work within Canada is permitted.
  • Commit to 16 hours per week.
  • Rate of $30/hour.
  • Responsibilities include labeling, auditing, and correcting data.
  • Requires native or near-native proficiency in Korean.
  • Attention to detail is crucial for data accuracy.
  • Must be comfortable with repetitive tasks.
  • Collaborate with teams to improve data quality.
  • Performance incentives included.

Requirements

  • Native or near-native proficiency in Korean.
  • Excellent command of English.
  • Strong writing and reading skills.
  • Detail-oriented with a commitment to accuracy.
  • Ability to follow complex instructions.
  • High tolerance for repetitive work.
  • Strong time management skills.
  • Curiosity about technology.
  • A reliable laptop and internet connection.
  • Willingness to work with potentially sensitive content.

Benefits

  • Flexible work environment.
  • Opportunity to work on cutting-edge AI research.
  • Performance incentives.
  • Inclusive company culture.
  • Remote work options.
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Cohere

Cohere is a pioneering company dedicated to scaling intelligence to serve humanity through the development and deployment of advanced AI models. With a mission to enhance the capabilities of AI systems for developers and enterprises, Cohere focuses on creating transformative experiences in areas such as content generation, semantic search, and AI agents. The company prides itself on its diverse team of top-tier researchers, engineers, and designers who are committed to building high-quality products. Cohere fosters a culture of hard work, rapid innovation, and a strong emphasis on customer value, while also valuing inclusivity and diverse perspectives in the workplace.

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