TELUS Digital is building a global community of experts to evaluate, challenge and improve advanced AI systems.
We are looking for university students, graduates, researchers and experienced professionals with expertise across Artificial Intelligence, Machine Learning, LLMs, Mathematics, Science, Engineering, Linguistics, Cybersecurity, Psychology, Law, Healthcare, Finance, Education and other specialist disciplines.
You do not need a degree specifically called “Artificial Intelligence.” We are looking for people with strong subject-matter expertise, analytical thinking and the ability to assess whether AI is accurate, logical, safe and fit for purpose.
What you may work on:
Depending on your expertise, you could evaluate:
AI & Machine Learning
- AI/ML concepts and technical outputs
- Model reasoning and performance
- Data and technical accuracy
- Coding and computational outputs
LLM & NLP
- AI-generated text and conversations
- Language, meaning, context and reasoning
- Hallucinations and factual accuracy
- LLM responses and instruction following
Mathematical & Logical Reasoning
- Mathematical calculations
- Statistics and probability
- Logic and multi-step reasoning
- Scientific and quantitative problem solving
AI Safety & Red Teaming
- AI failure modes
- Unsafe or inappropriate outputs
- Model vulnerabilities and weaknesses
- Adversarial and edge-case scenarios
- Responsible AI behaviour
Domain-Specific AI Evaluation
- Healthcare & Medicine
- Law
- Finance, Economics & Accounting
- Education
- Engineering & Robotics
- Physics & Science
- Business
- Humanities & Social Sciences
- Linguistics and other specialist domains
You may be asked to:
- Evaluate AI-generated responses against defined criteria
- Identify factual, technical, linguistic or reasoning errors
- Compare multiple AI responses and determine which is stronger
- Assess whether an AI solution is accurate, relevant and logically sound
- Identify hallucinations, inconsistencies and potential risks
- Apply evaluation guidelines consistently
- Provide clear, structured expert feedback
- Help establish and maintain high-quality evaluation standards