Global AI Expert & Evaluator

Overview

TELUS Digital is building a global community of experts to evaluate, challenge, and improve advanced AI systems. This remote opportunity is open to university students, graduates, researchers, and experienced professionals with expertise in AI, machine learning, LLMs, mathematics, science, engineering, linguistics, cybersecurity, psychology, law, healthcare, finance, education, and related specialist fields.

You do not need a degree specifically in Artificial Intelligence. The role is suited to people with strong subject-matter knowledge, analytical thinking, and the ability to judge whether AI output is accurate, logical, safe, and fit for purpose.

Preferred availability: 4 to 40 hours per week

Start date: 13/03/2026

Engagement type: Independent contractor

What You'll Do

• Evaluate AI-generated responses against defined criteria.
• Identify factual, technical, linguistic, and reasoning errors.
• Compare multiple AI responses and assess which is stronger.
• Review whether AI outputs are accurate, relevant, and logically sound.
• Spot hallucinations, inconsistencies, and potential risks.
• Apply evaluation guidelines consistently across tasks.
• Provide clear, structured expert feedback.
• Help maintain high-quality evaluation standards for AI systems.

Focus Areas

• AI and machine learning concepts and technical outputs.
• Model reasoning, performance, and technical accuracy.
• Coding and computational outputs.
• LLM and NLP responses, including language, context, reasoning, and instruction following.
• Mathematical and logical reasoning, including statistics, probability, and multi-step problem solving.
• AI safety and red-teaming scenarios, including unsafe outputs, vulnerabilities, and edge cases.
• Domain-specific evaluation in areas such as healthcare, law, finance, economics, accounting, education, engineering, physics, science, business, humanities, and social sciences.

Requirements

• Expertise in one or more relevant domains such as AI/ML, computer science, data science, mathematics, statistics, physics, engineering, linguistics, cybersecurity, psychology, law, medicine, healthcare, finance, economics, education, business, science, or humanities.
• Strong analytical judgment and the ability to assess AI outputs for accuracy and safety.
• Ability to evaluate reasoning, factual correctness, and logical consistency.
• Subject-specific qualification exam.
• ID verification.

Who They're Looking For

• Min Bachelor's, Master's, or PhD graduate.
• Researchers or academics.
• Industry professionals.
• Subject-matter experts.
• AI/ML practitioners.