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Ai Training Jobs in Quebec (NOW HIRING)

Ddn

$181 - $265/hr

Stay current on market trends related to AI infrastructure, GPU computing, large-scale model training, and high-performance data environments. * Represent DDN at industry events, conferences, and ...

Ironbelly Studios

AI Platform Engineer

Montreal, QC · Hybrid

We are not developing novel neural network architectures or training models from scratch. What You'll Build ????️ As a Senior Software Engineer on our AI Platform, you will architect the ...

United Airlines

GEN AI Specialist

Montreal, QC

Develop predictive models by selecting, training, and tuning traditional machine learning and deep ... Optimize AI frameworks to improve inference speed, reduce latency, and lower compute costs.

Apertera

Generative AI Engineer

Montreal, QC · On-site

Generative AI EngineerAbout Apertera Apertera is leading the evolution of language solutions for ... Develop efficient and scalable algorithms for training and inference of generative models ...

SIA

Generative AI Consultant

Montreal, QC

We provide extensive training to support your success. If you're driven to push AI boundaries and help clients rapidly adopt GenAI with confidence, apply to make a real difference. Responsibilities:

CIMA+

Senior AI Enablement Professional

Montreal, QC · Hybrid

Working closely with the AI Development team, you will translate CIMA+'s AI priorities, strategic ... Together, you will design and deliver adoption campaigns, training programs, communications ...

Ts Imagine

Analytics & AI Developer

Montreal, QC

Annual bonus and salary review. $1,500 training budget to fuel your growth. RRSP matching (3% ... If you're excited by AI, rigorous about data, and ready to help build something new, we want to ...

Ts Imagine

AI Solutions Developer

Montreal, QC · On-site

Annual bonus and salary review. $1,500 training budget to fuel your growth. RRSP matching (3% ... If you're excited by AI, rigorous about data, and ready to help build something new, we want to ...

Norbert Health

Applied AI Engineer

Montreal, QC · On-site

Experience with a cloud ML training/MLOps platform (GCP Vertex AI, AWS SageMaker, Azure ML, or equivalent) * Ability to work independently, solve complex problems, and drive projects to completion ...

Broccolini

Senior AI Skill builder

Kirkland, QC · On-site

AI Skill Builder senior Le role Broccolini met en place une AI Skill Factory interne afin de ... Support end-user training sessions and gather adoption feedback * Build test case libraries and QA ...

Norbert Health

Applied AI Engineer

Montreal, QC · On-site

Experience with a cloud ML training/MLOps platform (GCP Vertex AI, AWS SageMaker, Azure ML, or equivalent) * Ability to work independently, solve complex problems, and drive projects to completion ...

KPMG

Senior Consultant - AI & Copilot

Montreal, QC · On-site

Lead workstreams within AI adoption and transformation initiatives. * Deliver impactful executive ... Design and deploy training programs and strategic content. * Coach and mentor consultants while ...

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All JobsAi Training JobsAi Training Jobs in Quebec

Ai Training information

See Quebec salary details

$22K

$92.2K

$192.5K

How much do ai training jobs pay per year?

As of Aug 30, 2026, the average yearly pay for ai training in Quebec is $92,186.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $138,500.00 per year, depending on experience, location, and employer.

What is an AI training?

An AI Training job involves preparing and refining data to help improve artificial intelligence models. This can include labeling data, reviewing AI-generated outputs, and providing feedback to enhance accuracy. AI Trainers work with machine learning teams to fine-tune models for tasks like chatbots, image recognition, or language processing. Strong attention to detail and an understanding of AI behavior are key skills for this role.

What does an AI training specialist do?

AI Training specialists are primarily responsible for curating, labeling, and managing large datasets that are used to train machine learning models. They often collaborate closely with data scientists and engineers to ensure data quality, clarity of labeling guidelines, and that project requirements are met. Daily tasks can include annotating images or text, performing data validation, refining annotation protocols, and reviewing outputs generated by AI models. This role frequently involves teamwork as well as independent problem-solving, offering opportunities to learn about AI development workflows and expand technical knowledge.

What are the key skills and qualifications needed to thrive in the AI training position?

To thrive in AI Training, you need a solid understanding of machine learning concepts, data annotation, and statistical analysis, often supported by a background in computer science or related fields. Familiarity with tools such as TensorFlow, PyTorch, labeling software, and experience with data management systems is highly valued. Strong attention to detail, effective communication, and critical thinking are important soft skills for this role. These skills ensure the accurate preparation and handling of training data, which directly impacts the quality and success of AI models.

What are the most commonly searched types of Ai Training jobs in Quebec?

The most popular types of Ai Training jobs in Quebec are:

What are popular job titles related to Ai Training jobs in Quebec?

For Ai Training jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Ai Training jobs in Quebec look for?

The top searched job categories for Ai Training jobs in Quebec are:

Ai Training jobs near you
Infographic showing various Ai Training job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 15% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $92,186 per year, or $44.3 per hour.

Client Director - Strategic AI

Ddn

On-site

$181 - $265/hr

Other

Posted 18 days ago

Job description

DDN is seeking a Client Director - Strategic AI Infrastructure to drive revenue growth in North Central US and Canada within our Artificial Intelligence business unit. This is a quota-carrying role responsible for developing strategic enterprise opportunities and expanding DDN's presence within organizations building large-scale AI and high-performance computing environments.

In this role, the Account Executive will operate as a Strategic AI Client Director, partnering with enterprise customers, research institutions, and cloud organizations to deliver high-performance data infrastructure solutions that support advanced AI workloads.

The successful candidate will work closely with internal engineering teams, solutions architects, and channel partners to design and deliver complex AI infrastructure solutions supporting GPU computing, large-scale model training, and data-intensive workloads.

Key Responsibilities

  • Act as a Strategic AI Client Director within the assigned Central US and Canada territory, driving adoption of DDN's AI infrastructure solutions across enterprise and research organizations.

  • Drive revenue growth and achieve or exceed assigned sales quota across the West Coast region.

  • Develop and execute strategic territory and account plans targeting organizations building large-scale AI and high-performance computing environments.

  • Identify and qualify new opportunities across industries including financial services, healthcare, telecommunications, technology, research institutions, and large enterprise organizations.

  • Build trusted relationships with senior technical leaders, AI infrastructure teams, and executive decision-makers within target accounts.

  • Partner with solutions architects and engineering teams to design and present AI infrastructure and high-performance data storage solutions.

  • Deliver compelling presentations, product demonstrations, and proposals showcasing the value of DDN's AI-optimized storage platforms.

  • Manage the full enterprise sales cycle including pipeline development, forecasting, contract negotiation, and deal closure.
  • Develop strong relationships with channel partners, system integrators, OEM partners, and distributors to expand market reach.
  • Stay current on market trends related to AI infrastructure, GPU computing, large-scale model training, and high-performance data environments.
  • Represent DDN at industry events, conferences, and customer engagements to generate new opportunities and strengthen market presence.
Required Qualifications

  • 8+ years of experience in enterprise technology sales, preferably within storage, compute, networking, or infrastructure platforms.

  • Demonstrated experience selling AI infrastructure, HPC solutions, cloud platforms, or enterprise data center technologies.
  • Experience managing complex enterprise sales cycles involving technical buyers and executive stakeholders.
Preferred Experience

  • Experience selling AI infrastructure, GPU clusters, or high-performance computing platforms.

  • Familiarity with the AI ecosystem including technologies from NVIDIA, Intel, AMD, Cerebras, Graphcore, or Google TPU.

  • Knowledge of enterprise storage technologies including SAN, NAS, object storage, and parallel file systems.
  • Experience working with channel partners, system integrators, and distributor ecosystems.
  • Familiarity with technologies such as Kubernetes, OpenStack, and large-scale AI data center environments.
Why Join DDN

At DDN, you will work at the forefront of AI infrastructure innovation, helping organizations solve some of the most demanding data challenges in the world. Our teams collaborate across engineering, sales, and customer success to deliver cutting-edge technology that powers the next generation of AI breakthroughs.

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