AI Training Specialist - Korean Language Expert

Visible Hands

Delhi

Remote

INR 800,000 - 1,200,000

Full time

14 days+

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Benefits offered by this job

Remote-friendly
Professional development
AI projects exposure

Job summary

Rise Data Labs, operating with a remote-first approach, is seeking an AI Training Specialist fluent in Korean to annotate and validate data for AI models. You will apply domain knowledge to improve model accuracy across multiple projects.

You will train and review AI-generated content, collaborate with cross-functional teams, and maintain high-quality data standards. Fluency in Korean, sharp attention to detail, and experience in data annotation are essential.

Qualifications

  • Fluency in Korean (written and spoken).
  • Strong attention to detail and commitment to quality assurance.
  • Experience in data annotation or related field.
  • Basic understanding of AI and machine learning concepts.
  • Excellent communication and teamwork skills.

Responsibilities

  • Train and improve AI models by annotating and labeling data accurately.
  • Review and validate AI-generated content for correctness and relevance.
  • Provide domain expertise in Korean to enhance AI model performance.
  • Collaborate with cross-functional teams on AI training projects spanning multiple fields.
  • Ensure high-quality data is maintained for machine learning applications.

Skills

Korean fluency
Attention to detail
Data annotation
AI concepts
Communication skills
Teamwork

Tools

Annotation tools

Job description

About Rise Data Labs

Rise Data Labs is a leading AI training and data annotation company that specializes in creating high-quality training data for artificial intelligence systems. We work with top AI companies and research institutions to improve machine learning models through expert human annotation and validation.

Our team of domain specialists, subject matter experts, and quality assurance professionals work across various fields including economics, finance, psychology, computer science, business, mathematics, chemistry, physics, and engineering. We pride ourselves on our attention to detail, domain expertise, and commitment to delivering accurate, high-quality training data.

At Rise Data Labs, we believe in the power of human expertise to enhance AI capabilities. We offer our team members the opportunity to work on cutting‑edge AI projects while contributing their specialized knowledge to advance the field of artificial intelligence. Our flexible, remote‑first approach allows experts from around the world to participate in shaping the future of AI.

Job Overview

As an AI Training Specialist fluent in Korean, you will play a pivotal role in training and enhancing AI models through meticulous data annotation and validation. Your domain expertise will be essential in ensuring the accuracy and quality of AI-generated content across various projects.

Key Responsibilities
  • Train and improve AI models by annotating and labeling data accurately.
  • Review and validate AI-generated content for correctness and relevance.
  • Provide domain expertise in the Korean language to enhance AI model performance.
  • Collaborate with cross-functional teams on various AI training projects spanning multiple fields.
  • Ensure high-quality data is maintained for machine learning applications.
Required Skills and Qualifications
  • Fluency in Korean (both written and spoken).
  • Strong attention to detail and commitment to quality assurance.
  • Experience in data annotation or a related field.
  • Basic understanding of AI and machine learning concepts.
  • Excellent communication and teamwork skills.
Preferred Qualifications
  • Previous experience training AI models or working in AI development.
  • Familiarity with annotation tools and software.
  • Background in linguistics or a related domain.
What We Offer

At Rise Data Labs, we provide a collaborative work environment where innovation thrives. You will have opportunities for professional development and the chance to work on exciting AI projects that shape the future of technology.

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