Remote French QA Rater for AI & Search Quality

TELUS Digital AI Data Solutions; Strasbourg; À distance; EUR 40 000 - 70 000; Temps partiel

Résumé du poste

TELUS Digital AI Data Solutions is seeking Senior Raters to join our elite QA team. This flexible, remote opportunity lets you apply your analytical and research skills to assess search results and AI-generated content while helping advance high-quality AI systems.

As a Rater, you will review outputs, provide structured feedback, follow detailed guidelines, and participate in calibration sessions to improve models and rating workflows.

Qualifications

• Fluent in French and English with excellent communication skills.
• Resident in France for the last 5 consecutive years.
• Strong analytical thinking, attention to detail, and research skills.
• Daily access to reliable broadband, smartphone, and personal computer.
• Ability to work independently and follow detailed guidelines consistently.
• High level of creativity and logical skills with the ability to achieve targets.

Responsabilités

• 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.

Connaissances

Analytical thinking

Research skills

Attention to detail

Quality assessment

Bilingual (FR/EN)

Description du poste

TELUS Digital AI Data Solutions is seeking Senior Raters to join our elite QA team. This flexible, remote opportunity lets you apply your analytical and research skills to assess search results and AI-generated content while helping advance high-quality AI systems.

As a Rater, you will review outputs, provide structured feedback, follow detailed guidelines, and participate in calibration sessions to improve models and rating workflows.