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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 80 reviews and is evolving.

Featured Reviews

Data Scientist
3.7
7 February 2026
Good place for AI data solutions folks
Pros: I liked the team spirit on my immediate data science team. We collaborated well on big AI data solutions projects. It's cool being a Data Scientist here, you get to work with pretty cutting-edge stuff.
Cons: The overall corporate culture can feel a bit slow sometimes. It's hard to get big changes approved quickly in a big tech environment. Communication between different departments isn't always smooth, which can be frustrating for a remote worker.
Advice to Management: Try to empower teams more and streamline decision-making. Better cross-department communication would really help us as a remote workforce.
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Data Scientist
3.7
27 February 2026
Decent Remote Options for AI Data Pros
Pros: Good remote work options are a big plus, especially for a Data Scientist like me. The hybrid model works well; I only go into the office in Toronto, ON a couple of times a month. It really helps with work-life balance when you can manage your own schedule.
Cons: Sometimes it feels like there's a lack of consistent process across different AI development teams. Project timelines can be tight, which cuts into that flexibility even with WFH. There isn't always clear guidance on career growth within the data analytics space.
Advice to Management: Focus on standardizing processes across different AI and data teams. Give employees clearer paths for career growth in the data analytics field.
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Data Analyst
3.6
28 February 2026
Solid flexibility for digital roles, mostly remote.
Pros: I really appreciate the WFH options; it's practically a remote-first setup for many data science roles. This hybrid model makes balancing personal stuff easier. You can usually manage your own schedule for machine learning projects, which is a huge plus.
Cons: Sometimes, specific project deadlines mean less flexibility, even for digital product development tasks. It can depend heavily on your direct manager, too, and some teams still push for more in-office time despite our official remote policy.
Advice to Management: Ensure all managers across TELUS Digital AI Data Solutions embrace the remote-first policy consistently. Standardize work flexibility expectations for all data professionals, regardless of team lead.
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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 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, especially for data scientists?
What is the day-to-day working culture 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?
What is the work environment like at TELUS Digital AI Data Solutions, particularly for data scientists in Toronto?
What is TELUS Digital AI Data Solutions' policy on remote work for data scientists and engineers in Vancouver?
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