Cultural Safety & Red-Teaming Expert (AI Community)

Key Responsibilities

• Conduct high-stakes adversarial testing sessions, employing creative "jailbreaking" techniques to probe model vulnerabilities.
• Map regional social, political, and religious sensitivities to help the model avoid cultural "blind spots" in diverse global markets.
• Synthesize safety findings into comprehensive risk reports, collaborating with Policy Teams to update model safety guardrails.
• Evaluate the model’s ethical decision-making in "gray-area" scenarios, ensuring it prioritizes human safety and institutional values.

Mandatory Qualifications

• Education: Minimum of a Bachelor’s Degree in Ethics, Cyber Law, Cybersecurity, or a related field.
• English Proficiency: Minimum B1 (Intermediate) level English to document safety findings.
• Language: Native-level fluency in at least one language.
• Assessment: Subject-specific qualification exam and ID verification required.

Qualification Path

Payment: Currently, pay rates for experts range from $18 - $50 USD per hour. Our Payment terms are defined for each project.

Why Join the TELUS Digital AI Community

• Community Connection: Work remotely as part of a 1M+ diverse global AI Community of contributors and experts.
• Impactful Expertise: Use your native language and academic degree to shape real-world AI systems and products used by millions every day.
• Hands-on Innovation: Gain experience in the latest AI research, evaluation, and fine-tuning methodologies.
• Global Collaboration: Collaborate with a network of specialists across 20+ domains and 500+ languages and dialects.
• Flexible Engagement: Manage your own schedule while making a meaningful impact on the future of technology.

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.