Data Partner - Computer Science
@ TELUS Digital

Hybrid
$50,000
Hybrid
Full Time
Posted 14 hours ago

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XXXXXXXX XXXXXXXXX XXXXXXXXX***** @telusdigital.ca
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Job Details

Overview

Join TELUS Digital as a Data Partner in Computer Science. Work remotely with flexible hours and use your expertise to advance AI by crafting challenging, domain-specific question and answer pairs.

Key Responsibilities

  • Develop complex, original question-and-answer pairs on advanced topics.
  • Ensure multi-step problem-solving is integrated in each question.
  • Provide detailed and clear solutions that meet 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.
  • Experience in AI projects is advantageous.

Assessment & Payment

Candidates will complete a subject-specific qualification exam and ID verification. Pay rates range from $30 to $50 USD per hour, influenced by expertise, assessment results, geographic location, and project requirements.

TELUS Digital AI Community

Join a global community of over 1 million contributors and make an impact on AI for major brands.

EEO Statement

TELUS Digital, part of TELUS International, is committed to equal opportunity and creating a diverse and inclusive workplace. We base employment decisions on qualifications, merits, competence, and performance.

Key skills/competency

  • Advanced AI
  • Computer Science
  • Complex Problem-Solving
  • Question Design
  • Academic Standards
  • Collaboration
  • Domain Expertise
  • English Proficiency
  • PhD Level
  • Remote Work
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How to Get Hired at TELUS Digital

🎯 Tips for Getting Hired

  • Customize your resume: Tailor it to highlight your PhD and AI skills.
  • Showcase technical expertise: Emphasize Computer Science and domain experience.
  • Research TELUS Digital: Understand their AI community and mission.
  • Prepare for assessments: Practice subject-specific problem solving and exam questions.

📝 Interview Preparation Advice

Technical Preparation

Review advanced AI concepts.
Practice designing multi-step problem sets.
Study domain-specific Computer Science topics.
Revisit academic problem-solving techniques.

Behavioral Questions

Describe teamwork in high-pressure projects.
Explain handling feedback on complex tasks.
Discuss time management in remote settings.
Detail collaboration examples from previous roles.

Frequently Asked Questions