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Search Quality Rater - English - Remote

Posted 6 weeks ago
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Part Time
ID, USA

Overview

Are you a web-savvy, search expert with a talent for finding things online by using just a few words? Do you want to influence the future of global AI search? If so, we want you on board! Working on behalf of RWS, you will test and evaluate how our clients’ search engine responds to everyday searches from everyday people. Using your search expertise, you will work through a variety of assignments playing a crucial part in enhancing AI data which will be used to improve the online search engine experience of our clients’ users.

In Short

  • Test and evaluate search engine responses.
  • Enhance AI data for improved online search experiences.
  • Work on various assignments related to search quality.
  • Commit to a minimum of 10 hours per week.
  • Maintain quality and accuracy SLAs.
  • Utilize strong online research skills.
  • Work in a fast-paced environment.
  • Analyze information and assess its relevance.
  • Must reside in Idaho, USA.
  • Must be 18+ years old.

Requirements

  • Strong understanding of popular culture in the United States.
  • Reliable internet connection and personal computer.
  • Must pass training modules and a required test.
  • Must sign and adhere to project NDA.
  • Only one Search Quality Rater per household.
  • Reliable antivirus software required.
  • Self-discipline to work from home.
  • Critical thinking skills are essential.

Benefits

  • Flexible working hours.
  • Opportunity to influence AI search technology.
  • Work from home.
  • Engage in meaningful work that impacts user experience.
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RWS

RWS Group is a forward-thinking company focused on enhancing the reliability of artificial intelligence models through data annotation and evaluation. With a commitment to remote work, RWS offers flexible job opportunities that allow employees to maintain a work-life balance while contributing to the advancement of generative AI and machine learning technologies. The company values detail-oriented individuals who are eager to learn and improve processes, providing training and support to ensure high-quality outcomes in data curation.

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