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PhD Data Partner Computer Science

TELUS Digital

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Original Job Summary

Position Overview

Join TELUS Digital as a PhD Data Partner Computer Science to work remotely in North America. Leverage your domain expertise in AI and Computer Science to design advanced, domain-specific questions and solutions.

Key Responsibilities

  • Develop complex, original question-and-answer pairs on advanced topics.
  • Design multi-step, challenging problem-solving questions.
  • Provide clear, detailed solutions meeting high academic standards.
  • Collaborate with cross-functional teams to refine content.

Basic Requirements

  • Completed PhD or equivalent in Computer Science.
  • Strong proficiency in English with excellent grammar and clarity.
  • Prior experience in AI projects is advantageous.

Assessment & Payment

Candidates will undergo a subject-specific qualification exam and ID verification. Pay rates typically range from $30 to $50 USD per hour, based on expertise, skills assessment results, geographic location, and project requirements.

TELUS Digital AI Community

Be a part of a global AI Community of over 1 million contributors. Contribute to the development of AI models for some of the world’s largest brands.

Equal Opportunity Employer

TELUS International is committed to creating a diverse and inclusive workplace with hiring decisions based on qualifications, competence, and performance.

Key skills/competency

  • Computer Science
  • PhD
  • AI
  • Content Creation
  • Problem Solving
  • Subject Matter Expertise
  • Critical Thinking
  • Collaboration
  • Advanced Questions
  • Multi-step Reasoning

How to Get Hired at TELUS Digital

🎯 Tips for Getting Hired

  • Customize your resume: Highlight relevant AI and academic experience.
  • Demonstrate expertise: Emphasize your PhD and research work.
  • Prepare examples: Showcase multi-step problem solving in projects.
  • Network effectively: Leverage LinkedIn and TELUS Digital connections.

📝 Interview Preparation Advice

Technical Preparation

Review advanced algorithms and computer science theories.
Study AI project methodologies and assessment criteria.
Practice creating multi-step problem solving questions.
Refine technical writing for complex subject explanations.

Behavioral Questions

Describe teamwork in previous academic projects.
Explain handling complex problem solving scenarios.
Show adaptability in remote work environments.
Illustrate clear and concise communication examples.