Remote QA Rater (Spanish - Mexico) for AI & Search

TELUS Digital AI Community; Tijuana; Remote; MXN 180,000 - 300,000; Part time

Job summary

TELUS Digital AI Community is seeking Senior Raters to contribute to high-quality validation data for leading search engines and AI technologies. This flexible, remote contractor role emphasizes analytical assessment, rating accuracy, and adherence to guidelines.

You will evaluate search results and AI responses, conduct online research, document edge cases, and provide clear feedback while participating in training and calibration sessions to improve rating processes.

Qualifications

• Fluent in Spanish & English is required.
• Resident in Mexico for the last 5 consecutive years.
• Strong analytical thinking and attention to detail.
• Ability to follow detailed guidelines independently.
• Excellent communication skills in English and Spanish.

Responsibilities

• Evaluate search results and AI 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

Analytical thinking

Attention to detail

Research skills

Independent work

Bilingual English/Spanish

Tools

Web browsers

Search engines

Online research tools

Job description

TELUS Digital AI Community is seeking Senior Raters to contribute to high-quality validation data for leading search engines and AI technologies. This flexible, remote contractor role emphasizes analytical assessment, rating accuracy, and adherence to guidelines.

You will evaluate search results and AI responses, conduct online research, document edge cases, and provide clear feedback while participating in training and calibration sessions to improve rating processes.