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Search Quality Rater - Remote

Posted 11 weeks ago
All others
Part Time
VA, 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

  • Web-savvy search expert role.
  • Influence global AI search.
  • Test and evaluate search engine responses.
  • Enhance AI data for better user experience.
  • Work on various assignments.
  • Maintain quality and accuracy SLAs.
  • Self-discipline to work from home.
  • Critical thinking and analysis required.
  • Commit to 10-29 hours per week.
  • Must reside in the United States (Virginia).

Requirements

  • Currently reside in the United States (Virginia).
  • Strong understanding of popular culture in your locale.
  • Commit to a minimum of 10 hours per week, maximum of 29 hours per week.
  • Must sign and adhere to project NDA.
  • Have a smartphone and personal computer with reliable internet connection.
  • Reliable antivirus software required.
  • Must pass training modules and a required test.
  • Only one Search Quality Rater per household.
  • Must be 18+ years old.

Benefits

  • Flexible working hours.
  • Work from home.
  • Opportunity to influence AI technology.
  • Engage in interesting assignments.
  • Develop skills in online research.
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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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