Remote Senior AI Quality Assurance Rater

TELUS Digital AI Data Solutions; Mérida; Remoto; MXN 165.000 - 358.000; Tempo pieno

Descrizione del lavoro

TELUS Digital AI Data Solutions is seeking Senior QA Raters to help validate search results and AI-generated content for leading platforms. This flexible, remote contract role focuses on analytical assessment, guideline adherence, and high-quality feedback to improve model performance and search quality.

You will conduct online research, document edge cases, and participate in training sessions while meeting productivity targets and maintaining consistent quality across tasks.

Competenze

• Fluency in Spanish and English with excellent communication skills.
• Residency in Mexico 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.
• Daily access to reliable broadband, a smartphone, and a personal computer.
• Ability to work independently and follow detailed guidelines.
• High level of creativity and logical thinking to meet targets.

Mansioni

• Evaluate search results and AI content for quality, relevance, accuracy.
• Conduct online research to verify information and support ratings.
• Apply guidelines consistently while documenting edge cases.
• Provide clear written feedback and rationale for ratings.
• Participate in training, calibration, and quality reviews.
• Meet productivity targets while maintaining high-quality work.

Conoscenze

Online research

Quality assurance

Attention to detail

Analytical thinking

English & Spanish communication

Strumenti

Web browsers

Descrizione del lavoro

TELUS Digital AI Data Solutions is seeking Senior QA Raters to help validate search results and AI-generated content for leading platforms. This flexible, remote contract role focuses on analytical assessment, guideline adherence, and high-quality feedback to improve model performance and search quality.

You will conduct online research, document edge cases, and participate in training sessions while meeting productivity targets and maintaining consistent quality across tasks.