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Generative Ai Testing Jobs in Quebec (NOW HIRING)

... testing, release, and sustainment * Strong communication skills with the ability to engage business ... Exposure to AI agent tools and generative AI capabilities such as Copilot Studio, Azure AI, Azure ...

... testing, release, and sustainment * Strong communication skills with the ability to engage business ... Exposure to AI agent tools and generative AI capabilities such as Copilot Studio, Azure AI, Azure ...

... testing Generative AI solutions or LLM based systems Experience working in complex enterprise environments or large scale systems Qualifications Bachelor's Degree in Computer Science, Engineering ...

$90 - $140/hr

Deliver iterative development, testing and deployment of features in an Agile/DevOps setting ... Demonstrated ability to use generative AI in daily work. * Power BI knowledge (asset)

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Generative Ai Testing information

What is the difference between Generative Ai Testing vs Data Scientist?

AspectGenerative Ai TestingData Scientist
Required CredentialsKnowledge of AI models, testing tools, programming skillsStatistics, programming, data analysis certifications
Work EnvironmentAI development teams, testing labs, tech companiesResearch labs, tech firms, finance, healthcare
Employer & Industry UsageAI product testing, quality assurance in techData analysis, predictive modeling across industries

Generative Ai Testing focuses on evaluating and validating AI-generated content and models, ensuring quality and accuracy. Data Scientists analyze data, build models, and derive insights. While both roles require programming and AI knowledge, Generative Ai Testing emphasizes testing processes, whereas Data Scientists focus on data analysis and model development.

How much do AI testers get paid?

AI testers, involved in evaluating and validating generative AI models, typically earn salaries ranging from $60,000 to $120,000 annually depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with specialized skills in machine learning and data analysis can earn higher wages.

Is AI testing a good career?

AI testing, including roles like Generative AI Testing, is a growing field with increasing demand for skills in machine learning, data analysis, and software quality assurance. It offers opportunities in tech companies, research labs, and startups, often requiring knowledge of AI frameworks and testing tools. The career can be stable and rewarding for those with technical expertise and an interest in AI development.

What are the key skills and qualifications needed to thrive as a Generative AI Testing Specialist, and why are they important?

To thrive as a Generative AI Testing Specialist, you need a robust understanding of machine learning principles, model evaluation techniques, and a background in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and model evaluation frameworks, as well as experience with automated testing platforms, is typically required. Analytical thinking, attention to detail, and strong communication skills help you identify model weaknesses and collaborate effectively with development teams. These skills are crucial to ensure the reliability, safety, and ethical deployment of generative AI solutions.

What is the salary of generative AI tester?

The salary of a generative AI tester typically ranges from $70,000 to $120,000 annually, depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with specialized skills in AI and machine learning can earn higher salaries. Certifications in AI or related fields can also influence compensation.

What are some common challenges faced when testing generative AI models, and how can I prepare to address them in this role?

Testing generative AI models often involves unique challenges such as evaluating the quality and relevance of generated content, detecting bias or inappropriate outputs, and ensuring model consistency across various prompts. You may work closely with data scientists and engineers to create robust evaluation frameworks and develop automated as well as manual testing strategies. Familiarity with prompt engineering, statistical evaluation techniques, and domain-specific knowledge will help you address these challenges effectively. Proactively staying updated on industry best practices and collaborating with cross-functional teams are key to success in this dynamic field.

How do I become an AI tester?

To become an AI tester, you should have a strong understanding of machine learning concepts, programming skills in languages like Python, and experience with data annotation and model evaluation. Familiarity with AI tools, testing frameworks, and quality assurance processes is also important. Gaining relevant certifications or training in AI and software testing can enhance your qualifications.

What is Generative AI Testing?

Generative AI Testing refers to the process of evaluating and validating AI systems, particularly those that generate content such as text, images, or code. This type of testing focuses on assessing the accuracy, reliability, fairness, and safety of generative models to ensure they function as intended and avoid producing harmful or biased outputs. Testers use various methods, including automated and manual techniques, to check for issues like hallucinations, inappropriate content, or security vulnerabilities. The goal is to build trust in generative AI systems and ensure they meet quality and ethical standards before deployment.
What are popular job titles related to Generative Ai Testing jobs in Quebec? For Generative Ai Testing jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Generative Ai Testing jobs in Quebec look for? The top searched job categories for Generative Ai Testing jobs in Quebec are:
Infographic showing various Generative Ai Testing job openings in Quebec as of July 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution.
Director, Generative Engine Optimization (GEO)

Director, Generative Engine Optimization (GEO)

Intact Financial

Montreal, QC • Hybrid

Full-time

Life, Retirement

Posted 9 days ago


Job description

Our employees are at the heart of everything we do. Together, we help people, businesses, and society prosper in good times and be resilient in bad times.


Our employee promise represents Intact's commitment to you in exchange for living our Values, striving to do your best work, being open to change and investing in your career. In return, we promise to provide support, opportunities and performance-led financial rewards at a workplace where you can shape the future, win as a team and grow with us.

Pay at Intact is about much more than just salary.

  • Flexible work arrangements and a hybrid work model

  • Possibility to purchase up to 5 extra days off per year

  • Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more

  • Share plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life)

Salary range (but not limited to):

138,500 - 169,300

Annual bonus target, based on the base salary, with a potential payout of up to double the target (subject to personal and company performance):

20%

As part of our commitment to Win As A Team, we share our success with employees through our annual bonus plan and Employee Share Purchase Plan (ESPP) - with Intact matching 50% of your net shares.

Our pension offerings provide flexibility and long-term security for our employees beyond their careers. We are one of the few companies offering the opportunity to receive guaranteed income for life via our defined benefit pension plan.

Salary for the candidate will be determined taking into consideration a number of factors including: experience, skills, qualifications, anticipated contribution to role, internal equity, etc. The salary range presented above is based on a 35-hour workweek and would represent a majority of different candidate profiles. However, we encourage candidates who may fall outside of this range to apply as well.


About the role

We're looking for a Director, Generative Engine Optimization (GEO) to join our growing team!

Challenging the status quo takes creativity, passion, focus, and resilience. It's where you do your best work. If you're the kind of leader who has built highperforming marketing, distribution and partnerships teams, and you're ready to push beyond rankings into how a brand is represented, perceived, and trusted to shape responses in AI ecosystems, you'll feel at home here.

We're hiring a Director, Generative Engine Optimization (GEO) to shape and scale how our brands are seen, cited, and preferred across generative search, AI assistants, and emerging discovery channels. You'll define the GEO and AI content development and distribution strategy, architect the operating model, and lead a highimpact team to deliver measurable gains in visibility, favourability, and performance, anchored to where decisions now happen: the new consumer discovery landscape. In practice, you'll evolve our technical and structured content foundations, build meaningful distribution and partnership channels, architect the data and experimentation framework, and build a scalable AI-enabled content engine with quality and brand safety. You'll lead integrated go to market for AIfirst discovery and the GEO function, setting direction, aligning crossfunctional teams, and tying shareofanswer and assistant citations to business outcomes. If you're driven to innovate with rigor and impact, we'd like to meet you.

What you'll do here:

  • Define and lead the GEO function

    • Set the long-term vision and roadmap to maximize brand and product representation in generative search results and AI assistants.

    • Build key pillars of content development, syndication and distribution, integration across key pillars such as earned media, partnerships, technical GEO, community, and testimonials/customer reviews sentiment.

    • Establish the operating model across the organization and governance to drive cross-functional integration and delivery.

  • Develop and oversee integrated go-to-market strategies for AI-first discovery

    • Translate strategy into an actionable roadmap that integrates GEO, content distribution, partnerships, schema/structure, and channel management/leadership.

    • Partner with various teams such as PR/corporate communications, digital platforms, brand teams, etc. to align content pillars, topical authority, and distribution across channels.

  • Build a high-performing, scalable AI-enabled engine and distribution strategy across multiple streams (PR, partnerships, social media, etc.)

  • Architect our data and experimentation framework

    • Define and refine north-star metrics and insights (e.g., AI visibility/presence and favorability, citation rate, assisted conversions) and build appropriate reporting and optimization framework.

    • Run continuous testing across prompts, formats, and content pillars to improve model and business impact.

  • Evolve our technical and structured content foundations

    • Drive improvements in information architecture, schema markup, entity linking, and content metadata to increase machine interpretability.

    • Partner with our marketing technology and digital experience and platforms teams on crawlability, performance, and content delivery to support GEO ambitions.

What you bring to the table:

  • Bachelor's degree in Marketing, Business, or a related field

  • 15+ years of experience in integrating, leading and managing key areas such as content marketing & distribution/syndication, partnerships development, SEO, earned media and/or related experience

  • At least 8+ years of experience managing and inspiring marketing and earned media professionals, and developing strong strategic thinking backed by a data-driven mindset

  • You are an expert communicator with ability distilling complex, technical topics into crisp narratives that inform decisions and inspire action

  • Deep expertise in content distribution/syndication, technical SEO/GEO, content optimization, partnership development, information architecture, site performance and creating scale/velocity

  • Hands-on experience with developing programs that have integrated PR, website, social media, brand marketing, partnerships

  • Ability to define metrics, analyze performance, and use data to guide recommendations

  • For candidates located in Quebec, bilingualism is required considering the necessity to interact on a regular basis with English-speaking colleagues across the country

  • No Canadian work experience required, but must have authorization to work in Canada

#LI-hybrid

Il s'agit d'un nouveau role au sein de notre equipe en pleine croissance | This role is a new member of our growing team.


We are an equal opportunity employer

At Intact, our Value of respect is founded on seeing diversity as a strength. We strive to create an accessible workplace where employees feel valued, included and encouraged to share their unique perspectives.

We encourage applications from individuals who are members of equity-deserving groups, including but not limited to women, Indigenous peoples, persons with disabilities, Black people, and members of the 2SLGBTQI+ community.

As part of Intact's commitment to reconciliation, we acknowledge that we work, meet and travel across the land currently called Canada, originally inhabited by First Nations, Metis and Inuit people. This history extends through many centuries and continues to evolve today.

We have policies to ensure equal access and participation for people with disabilities, including providing workplace adjustments (accommodations). A copy of applicable policies is available on request.

If we can provide a specific adjustment to make the recruitment process more accessible for you, please let us know when we reach out about a job opportunity. We'll work with you to meet your needs.

Learn more about our recruitment process and your candidate journey here.

Please note that Intact does not provide sponsorship or other support for immigration-related matters including but not limited to employer-specific closed work permits. Candidates must be eligible to work in Canada from the anticipated start date and throughout their employment and are solely responsible for maintaining their work eligibility.

If you are an employee of Intact or belairdirect, please apply for this role on Internal Career Site.

Employment Type: FULL_TIME