Remote Quality Assurance Rater - English (United Kingdom)

Join our elite team of Senior Raters as a critical contributor to high-quality validation data that directly influences product development and quality assurance for leading search engines and AI technologies.

This flexible, remote opportunity allows you to apply your analytical and research skills to evaluate search results and AI-generated content while contributing to the development of high-quality AI systems.


A Day in the Life of a Quality Assurance Rater

  • In this role, you'll conduct analytical assessments of search results and AI responses, providing ratings and feedback that help improve AI model performance and search quality.
  • Your work will maintain high quality standards and deliver the accuracy our clients depend on.
  • You'll evaluate a variety of rating tasks, analyze content with attention to detail, conduct research to support rating decisions, and identify guideline gaps or task inconsistencies.
  • You'll also participate in training and calibration sessions while contributing feedback to improve rating processes and guidelines.


Key Responsibilities

  • Evaluate search results and AI-generated content for quality, relevance, accuracy, and usefulness.
  • Conduct online research to verify information and support rating decisions.
  • Apply rating guidelines consistently while maintaining quality standards.
  • Document edge cases, guideline gaps, and task-related issues.
  • Provide clear written feedback and rationale for ratings when required.
  • Participate in training, calibration sessions, and ongoing quality reviews.
  • Meet productivity expectations while maintaining high-quality work.


The hourly earnings for this role are 17.40 GBP per hour, payment is based on completed tasks.


TELUS Digital AI Community

Our global AI Community is a vibrant network of 1 million+ contributors from diverse backgrounds who help our customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world’s largest brands.


Qualification path

Candidates will complete project-specific training and qualification assessments before joining the program. Ongoing work will be subject to regular quality assurance reviews and performance monitoring.


Basic Requirements

  • Working as a freelancer with excellent communication skills in English.
  • Resident in United Kingdom for the last 5 consecutive years.
  • Familiarity with current and historical business, media, sports, news, social media, and cultural affairs.
  • Strong analytical thinking, attention to detail, and research skills.
  • Experience using web browsers, search engines, and online research tools.
  • Daily access to a reliable broadband internet connection, smartphone, and personal computer.
  • Demonstrated research capability through professional background OR strong track record of self-directed research and information verification
  • Ability to work independently and follow detailed guidelines consistently.
  • High level of creativity and logical skills with the ability to achieve consistent targets


Preferred Qualifications

  • Experience in quality assurance, content moderation, data annotation, research, journalism, editing, or information verification.
  • Familiarity with AI technologies, search engines, and digital content ecosystems.
  • Subject matter expertise in areas such as Popular Culture, Social Sciences, STEM, Medicine, Law, Finance, or Engineering.
  • Additional language skills may be beneficial depending on project requirements.


Equal Opportunity

All qualified applicants will receive consideration for a contractual relationship without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. At TELUS Digital AI, we are proud to offer equal opportunities and are committed to creating a diverse and inclusive community. All aspects of selection are based on applicants’ qualifications, merits, competence, and performance without regard to any characteristic related to diversity.

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