Remote QA Rater (English, Australia) for AI and Search

TELUS Digital; Charters Towers Regional; Remote; AUD 34,000 - 48,000; Full time

Job summary

TELUS Digital AI Community seeks Senior Raters to validate search results and AI content, ensuring high-quality data for product development and AI systems. This remote, freelance role emphasizes analytical judgment, research skills, and precise feedback in a fast-paced quality assurance environment.

You will evaluate diverse rating tasks, conduct targeted web research, and document edge cases while participating in training and calibration sessions to improve rating processes and guidelines.

Qualifications

• Freelance work with excellent English communication.
• Resident in Australia for the last 5 consecutive years.
• Strong analytical thinking, attention to detail, and research skills.
• Experience using web browsers, search engines, and online research tools.
• Ability to work independently and follow detailed guidelines.

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.

Skills

English communication

Analytical thinking

Attention to detail

Research skills

Independent work

Job description

TELUS Digital AI Community seeks Senior Raters to validate search results and AI content, ensuring high-quality data for product development and AI systems. This remote, freelance role emphasizes analytical judgment, research skills, and precise feedback in a fast-paced quality assurance environment.

You will evaluate diverse rating tasks, conduct targeted web research, and document edge cases while participating in training and calibration sessions to improve rating processes and guidelines.