1

Ai Tester Jobs in Quebec (NOW HIRING)

... and testing Move from problem understanding to working solution without reliance on legacy SDLC ... AI behaviour, limitations, and tradeoffs Problem Framing & Opportunity Identification Frame ...

... and testing Move from problem understanding to working solution without reliance on legacy SDLC ... AI behaviour, limitations, and tradeoffs Problem Framing & Opportunity Identification Frame ...

AI Application Developer Who We Are: Quadbridge is a fast-growing North American IT solutions ... Conduct testing, document solutions, and monitor, troubleshoot, and optimize deployed agents for ...

Develop tools and utilities to support AI development and testing. * Proactively identify and address challenges related to AI development, devising creative and effective solutions. * Maintain ...

AI Application Developer Who We Are: Quadbridge is a fast-growing North American IT solutions ... Conduct testing, document solutions, and monitor, troubleshoot, and optimize deployed agents for ...

... testing and SME review working groups to ensure quality signoff Build and maintain Power Automate workflows to support agent orchestration and business process automation Serve as the primary ...

As an AI Designer, Developer, you will play a key role in transforming business opportunities into ... deployment, testing, validation, and monitoring mechanisms. _____ What Could Accelerate Your ...

Showing results 21-40

Ai Tester information

See Quebec salary details

$10

$49

$94

How much do ai tester jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for ai tester in Quebec is $49.44, according to ZipRecruiter salary data. Most workers in this role earn between $25.00 and $67.79 per hour, depending on experience, location, and employer.

What is an AI tester?

An AI Tester is responsible for evaluating artificial intelligence systems to ensure they function correctly, efficiently, and ethically. They design and execute test cases, identify flaws or biases, and verify that AI models meet performance standards. AI Testers work with developers and data scientists to improve AI reliability and user experience. Their role is crucial in preventing errors, reducing risks, and ensuring AI models make accurate and fair decisions.

What are the key skills and qualifications needed to thrive as an AI tester?

To thrive as an AI Tester, you need a background in computer science, experience with software testing methodologies, and a solid understanding of artificial intelligence technologies. Familiarity with testing tools (such as Selenium, Jupyter notebooks, or TensorFlow testing frameworks), programming languages like Python, and relevant certifications (e.g., ISTQB) are highly advantageous. Attention to detail, problem-solving abilities, and strong communication skills help AI Testers identify and articulate issues effectively. These skills ensure AI systems are reliable, accurate, and deliver expected outcomes in real-world applications.

What are some typical challenges faced by AI testers in their daily work?

AI Testers often encounter challenges such as managing and testing large, complex datasets, handling rapidly evolving algorithms, and ensuring consistent test coverage across various real-world scenarios. They must also validate that AI models are free from bias and produce accurate, reproducible results under different conditions. Overcoming these challenges requires both technical proficiency and adaptability. Collaboration with data scientists, developers, and product managers is common, and testers frequently update their testing approaches to keep pace with the fast changes in AI technology.

Can I get an AI Tester job with no experience?

Entry-level AI Tester positions often do not require prior experience, but having basic knowledge of programming, testing tools, and AI concepts can improve your chances. Many employers offer training or are willing to hire candidates with relevant skills or certifications, such as in software testing or machine learning fundamentals.

How do you become an AI tester?

To become an AI tester, you typically need a background in computer science, software testing, or related fields, along with knowledge of machine learning and AI concepts. Gaining experience with programming languages like Python and familiarity with testing tools and frameworks are also important. Certifications in software testing or AI can enhance your qualifications and job prospects.

How much do AI testers make?

AI testers typically earn between $50,000 and $100,000 annually, depending on experience, location, and the complexity of the projects. Entry-level positions may start lower, while experienced testers with skills in automation tools and programming can earn higher salaries.

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

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

Infographic showing various Ai Tester job openings in Quebec as of August 2026, with employment types broken down into 75% Full Time, 10% Part Time, 5% Temporary, and 10% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $102,827 per year, or $49.4 per hour.

Senior Consultant, Software Delivery Developer - Gen AI and AI-Accelerated Modernization

KPMG

Montreal, QC

Full-time

Re-posted 10 days ago


Job description

Overview

At KPMG in Canada, our people bring their unique perspectives to Canada’s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.

Our Gen AI and Software Delivery team helps clients build, modernize, and operate software using modern engineering practices, cloud platforms, and AI-enabled delivery approaches.

As a Senior Consultant, Software Delivery Developer, you will design and build high-quality software solutions while helping guide delivery teams and client stakeholders through technical decisions. You will contribute to architecture, development, testing, automation, and deployment while mentoring consultants and supporting delivery leads. 


What you will do
  • Design, build, test, and deploy software components, APIs, integrations, and cloud-based solutions. 
  • Lead smaller technical workstreams or features from design through implementation. 
  • Collaborate with architects, managers, project managers, product owners, and client teams to clarify requirements and delivery priorities. 
  • Contribute to solution design, estimation, backlog refinement, sprint planning, and technical documentation. 
  • Participate in code reviews and help improve engineering standards, test coverage, security, and maintainability. 
  • Use AI-assisted delivery tools responsibly to accelerate development, testing, analysis, and documentation. 
  • Troubleshoot issues across application, data, infrastructure, and deployment layers. 
  • Mentor consultants and contribute to a collaborative, learning-oriented team environment. 

What you bring to the role
  • 4+ years of experience designing and developing software solutions. 
  • Strong hands-on development experience with C# and .NET, plus one or more modern languages or frameworks such as Java, JavaScript/TypeScript, Python, or similar. 
  • Experience with APIs, databases, cloud services, integration patterns, and modern application architectures. 
  • Familiarity with Microsoft Azure, including Azure application, integration, data, DevOps, or cloud-native services. 
  • Experience with Next.js is a nice-to-have. 
  • Experience with Git, CI/CD, automated testing, DevOps practices, and agile delivery. 
  • Ability to analyze technical problems, communicate options, and recommend practical solutions. 
  • Interest in Gen AI, AI-assisted engineering, prompt patterns, and AI-accelerated SDLC practices. 
  • Strong written and verbal communication skills. 
  • Ability to work independently and as part of a multidisciplinary delivery team. 
  • Fluency in French and english is required. 
  • University degree in computer science, engineering, information systems, science, or a related field, or equivalent experience. 

This position requires written and oral fluency in English because it involves interpretation and application of English standards, guidance, laws and regulations, servicing of English-speaking clients located across Canada and collaboration with English Speaking colleagues located outside of Quebec.

Providing you with the support you need to be at your best


Our Values, The KPMG Way

Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

Weembrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG’s Trusted AI framework.

We believe technology should empower human judgment, not replace it. It’s one of the many ways we’re delivering on our vision of being a technology-first, people-driven firm.

Qualifications:
  • 4+ years of experience designing and developing software solutions. 
  • Strong hands-on development experience with C# and .NET, plus one or more modern languages or frameworks such as Java, JavaScript/TypeScript, Python, or similar. 
  • Experience with APIs, databases, cloud services, integration patterns, and modern application architectures. 
  • Familiarity with Microsoft Azure, including Azure application, integration, data, DevOps, or cloud-native services. 
  • Experience with Next.js is a nice-to-have. 
  • Experience with Git, CI/CD, automated testing, DevOps practices, and agile delivery. 
  • Ability to analyze technical problems, communicate options, and recommend practical solutions. 
  • Interest in Gen AI, AI-assisted engineering, prompt patterns, and AI-accelerated SDLC practices. 
  • Strong written and verbal communication skills. 
  • Ability to work independently and as part of a multidisciplinary delivery team. 
  • Fluency in French and english is required. 
  • University degree in computer science, engineering, information systems, science, or a related field, or equivalent experience. 

This position requires written and oral fluency in English because it involves interpretation and application of English standards, guidance, laws and regulations, servicing of English-speaking clients located across Canada and collaboration with English Speaking colleagues located outside of Quebec.

Providing you with the support you need to be at your best

Education:UNAVAILABLEEmployment Type: FULL_TIME