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Company Summary

Company Reviews

TELUS Digital AI & Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. The work of our AI Community contributes to improving technology and the digital experiences of many people around the world. Our AI Community works in our proprietary AI training platform handling all data types (text, images, audio, video and geo) across 500+ languages and dialects. We offer flexible work-from-home opportunities and Onsite jobs in many regions for people with a passion for languages. We have both part-time jobs with no fixed schedule and onsite full-time jobs. Whoever you are, wherever you come from, come join our global AI Community. www.telusdigital.com

Rating Reviews

Rating is calculated based on 85 reviews and is evolving.

Featured Reviews

Data Scientist
4.1
5 May 2026
Solid Career Growth and Supportive Environment for Data Pros
Pros: Working as a Data Scientist provides solid career growth in AI and data solutions. The team is very supportive, encouraging continuous learning. The hybrid model offers great flexibility in Vancouver, BC, and contributing to impactful telecommunications projects is rewarding.
Cons: Approval processes can be a bit slow, typical for a large enterprise. While growth is supported, promotion timelines are structured, so advancement is steady but not always rapid.
Advice to Management: Continue to streamline internal approval workflows where possible to help accelerate project delivery.
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AI Engineer
4.0
2 May 2026
Solid AI engineering role, good WLB
Pros: As an AI Engineer, I really appreciate the supportive team and the interesting data science challenges in telecom. There's good career development and management genuinely promotes work-life balance. Hybrid work is great, and job security feels strong. It's a positive environment for professional growth.
Cons: Approval processes can slow down AI projects sometimes. Also, cross-functional communication could improve to reduce silos. Overall, minor issues.
Advice to Management: Focus on streamlining some of the internal approval processes to accelerate AI project delivery. Continue to foster clear communication channels between different teams to break down silos, ensuring leadership across all units is aligned on project priorities and resource allocation.
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AI Solutions Developer
3.9
4 May 2026
Great place for AI development and growth
Pros: I enjoy the focus on continuous learning as an AI Solutions Developer. We get to work with exciting machine learning and data science tech. The teams are collaborative, and the company culture is supportive. The hybrid work model really helps with work-life balance too, which is great.
Cons: Sometimes the internal approval processes can be a bit slow. Also, career progression, while available, can feel a little slower than I've seen at other tech companies.
Advice to Management: Focus on streamlining some of the internal approval workflows to empower teams to innovate faster. Also, clearer paths for career progression would be beneficial for those in highly specialized roles like AI development.
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Common Questions About TELUS Digital AI Data Solutions

What is the work-from-home policy like at TELUS Digital AI Data Solutions, especially for data scientists?
What is the work-from-home policy like at TELUS Digital AI Data Solutions, especially for data science roles in Toronto?
What is TELUS Digital AI Data Solutions' policy on remote work for data scientists and AI engineers in Vancouver?
What is the work-from-home policy like at TELUS Digital AI Data Solutions for data scientists?
What is the typical team dynamic like at TELUS Digital AI Data Solutions, especially for roles in AI and data science?
What is the work-from-home policy like at TELUS Digital AI Data Solutions, and how does it impact the company culture for roles like Data Scientists?
What is the work-from-home policy like at TELUS Digital AI Data Solutions for data scientists?
Does TELUS Digital AI Data Solutions offer hybrid or remote work options for roles like Data Scientists in Canada?
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