Applied AI Intern, People Operations

Toronto, Ontario, CanadaPosted 17 days ago

Role Overview

Tenstorrentuniversity is hiring a Applied AI Intern, People Operations. This is a internship role in Toronto, Ontario. posted 2 weeks ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.

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Job description

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.

We are hiring an Applied AI Intern to work within our People Operations and People Programs team. This role is focused on changing how work gets done. The People Operations team is moving away from manual processes, fragmented systems, and reactive support models. The goal is to automate where possible, redesign where needed, and build a more structured and scalable way of operating using AI, workflows, and system design. You will help identify where work is inefficient today and build solutions that replace it. This includes automating repetitive tasks, designing new support models, and creating systems that allow the team to operate with more speed and consistency. This is not a predefined internship. Problems will not always be clearly scoped, and part of the role is bringing structure to ambiguity and driving solutions forward. The work sits at the intersection of technical execution, operations, and how people actually get work done. This role is a minimum term of 12 months.

This role is onsite, based in our Toronto, ON office.

Who You Are

Build the infrastructure layer that connects our systems and supports how the team operates.
Design and implement automation across systems and workflows while translating operational needs into structured, buildable systems.
Develop internal HR products that improve employee experience and operational efficiency.
Help define and build a new support model that reduces manual work and replaces reactive processes to identify where work is fragmented.
Contribute to shaping how the team operates by introducing new ways of working enabled by AI and automation.

What We Need

Ability to design, build, and iterate on end-to-end workflows across multiple systems while building automation that reduces manual work and improves consistency.
Experience integrating tools using APIs, webhooks, or similar approaches.
Ability to translate operational problems into technical solutions and working prototypes.
Comfort working across multiple tools and selecting the right approach for the problem.
Strong execution mindset with the ability to quickly learn new systems and apply them effectively in practice.

What You Will Learn

How to apply AI and automation in a live operational environment supporting day-to-day People Operations.
How to design systems that replace manual, reactive workflows with scalable, structured solutions.
How to take ambiguous problems and turn them into clear, executable technical work.
How to build and deploy internal tools that improve how a non-technical team operates.
How AI can meaningfully change operational models in real-world business settings.

Compensation for all interns at Tenstorrent ranges from $38/hr - $43/hr including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

About Tenstorrentuniversity

Tenstorrentuniversity

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Frequently Asked Questions

How do I apply for the Applied AI Intern, People Operations position at Tenstorrentuniversity?

Use the Apply button above to submit your application directly to Tenstorrentuniversity. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Applied AI Intern, People Operations position at Tenstorrentuniversity located?

This position is based in Toronto, Ontario. Tenstorrentuniversity has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Applied AI Intern, People Operations at Tenstorrentuniversity earn?

Tenstorrentuniversity has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Applied AI Intern, People Operations role at Tenstorrentuniversity posted?

This role was posted on June 29, 2026 (17 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.