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RWS

Search Engine Evaluator - Korean

Posted 2026-10-28
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Work Type
Remote
Location
South Korea
Compensation
Up to $10/hour

About this opportunity

Overview

RWS TrainAI is looking for a remote Search Engine Evaluator who can assess search results and help improve the quality of AI-driven search experiences. This flexible, part-time role involves evaluating how search engines respond to everyday queries and providing feedback that supports better results across search, social media, streaming, and related online services.

The role is based in South Korea and requires English and Korean proficiency. The expected schedule is flexible, with around 8 to 20 hours per week and an average of about 15 hours weekly. Pay is up to 10 USD per hour.

What You'll Do

  • Review and evaluate search engine responses to everyday searches.
  • Provide feedback on text, audio, images, and videos to help refine AI data.
  • Use online research skills to judge relevance and quality of results.
  • Work through assignments accurately while maintaining quality and accuracy standards.

Requirements

  • Currently reside in South Korea.
  • Strong understanding of local popular culture in South Korea.
  • English and Korean proficiency.
  • Ability to commit to a minimum of 5 hours per week and up to 20 hours per week.
  • Willingness to sign and follow a project NDA.
  • Access to a smartphone and personal computer with reliable internet.
  • Reliable antivirus software on your computer.
  • Ability to complete training modules and pass a required client test before starting.
  • Only one Search Quality Rater per household.
  • Must be 18 years old or older.

Additional Details

  • Payments are made via PayPal or bank account.
  • The role is home-based and designed for flexible work-life balance.
  • Applicants should select the working status option that best fits whether they are a freelancer/private individual.

Skills & expertise

Search Engine Evaluation Online Research Quality Rating AI Evaluation Bilingual Korean-English Critical Thinking Content Relevance Assessment

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