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Ai Tester Jobs in Quebec (NOW HIRING)

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 ...

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 ...

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 ...

... 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 ...

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 ...

Apply solid engineering practice: version control, code review, automated testing, CI/CD, and ... Work AI-Natively and Client-Facing Our engineers work AI-natively and represent Artefact directly ...

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Ai Tester information

See Quebec salary details

$10

$49

$94

How much do ai tester jobs pay per hour?

As of Sep 4, 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.

AI Augmented Developer (RAD)

LGI Healthcare Solutions Santé Inc.

Montreal, QC • On-site

Full-time

Medical, PTO

Re-posted 20 days ago


Job description

Company Description

For over 40 years, LGI has been developing healthcare software solutions. Today, AI is at the heart of how we build software and is being integrated into the next generation of our solutions, not as an end in itself, but as a powerful enabler of the mission that drives us: improving the performance of healthcare organizations.

We are looking for exceptional talent, people who are passionate about technology, naturally curious, and driven by high standards. Individuals for whom exploration and innovation are second nature, and who want to apply their energy to a mission that goes beyond software development, one that impacts decisions, processes, and ultimately, people.

We value diversity and equal employment opportunities for everyone. If you require accommodation during the recruitment process, please do not hesitate to let us know.

Job Description

Artificial intelligence is at the heart of how we design, modernize, and evolve our healthcare solutions. AI tools, models, and practices are advancing at a rapid pace, and we are looking for ambitious, curious developers who can learn quickly and continuously adapt to change.

What you'll do

  • Develop and maintain application modules using AI and coding-assistance tools (Copilot, Cursor, Claude Code, etc.) within a technology ecosystem based on C#, .NET, Windows Forms, application services, and Oracle (PL/SQL).
  • Troubleshoot and resolve complex issues in a multi-technology environment with multiple system integrations.
  • Help modernize and scale the platform: evolve legacy components, optimize Oracle queries and data models, and refactor performance bottlenecks
  • Build and extend CI/CD pipelines to automate builds, testing, and deployments
  • Participate in code reviews, with a critical eye on AI-generated code
  • Keep the end user in mind: what you build is used by medical school staff, faculty, and students, and supports the training of future physicians
  • Take ownership of your deliverables from requirement through to production, including testing and documentation
  • Work within applicable Canadian privacy standards for student records (e.g., PIPEDA and provincial legislation), supported by the team

How you'll use AI

  • Use AI coding assistants (Copilot, Cursor, Claude Code, etc.) every day to generate, complete, and understand code across whatever part of the stack the work requires
  • Lean on AI to ramp up fast on unfamiliar technologies and codebases, rather than waiting to build deep single-stack expertise
  • Generate and critically evaluate automated tests (unit, integration, end-to-end), judging their relevance and coverage
  • Build AI-supported quality gates in the delivery pipeline: automated checks for compliance, accessibility, performance, and security
  • Use AI to read, document, and safely modernize legacy code, reducing the risk of change
  • Analyze logs, errors, and stack traces with AI alongside profiling tools to accelerate debugging and performance tuning
  • Produce and maintain technical documentation with AI tools
  • Write precise prompts and iterate; recognize when AI goes off track and take back control
  • Quickly adopt a new tool or model when it delivers measurable gains, and share your learnings with the team
Qualifications

What We're Looking For Above All

Essential

  • A minimum of 8 years of development experience with C#, .NET, Windows Forms, application services, and Oracle (PL/SQL).
  • A fast, self-directed learner who explores, experiments, and continuously improves without requiring step-by-step guidance, and who can quickly adapt as technologies and ecosystems evolve.
  • Regular user of AI-powered development tools, with the ability to leverage AI to deliver measurable productivity gains.
  • Ability to critically assess and validate AI-generated outputs.
  • Intellectual curiosity, an interest in complex systems and architectures, and a genuine desire to understand how things are designed and built.
  • Strong foundations in object-oriented programming and algorithmic thinking.
  • Excellent communication and collaboration skills: Able to clearly explain your reasoning, seek help when needed, and actively contribute to technical discussions, even in complex situations.
  • Values collective intelligence and teamwork to accelerate problem-solving and decision-making.
  • Keeps the customer and end user at the center of their thinking and decisions, and maintains a solution-oriented mindset in a constantly evolving environment.
  • Interested in growing within a regulated industry environment (digital health).
  • Ambitious and motivated to advance and grow their career.

Assets

  • Experience with the Delphi programming language.
  • Strong understanding of build and deployment pipelines.
  • Experience developing enterprise-grade B2B solutions.
  • Experience with solution architecture and modeling.
  • Experience developing AI-enhanced product features or integrating AI models into existing systems.
  • Personal projects or open-source contributions involving AI; GitHub activity and experimentation outside of work are highly valued and stand out.
  • Knowledge of data integration and messaging standards/protocols (e.g., HL7 v2).

Additional Information

Why join LGI?

  • A workplace built on trust, autonomy and collaboration
  • The opportunity to grow, perform and work alongside curious and talented colleagues
  • A continuous learning culture with dedicated training time, a renowed skills development platform and access to cutting-edge tools
  • Stimulating projects that advance healthcare technology and support the work of over 320,000 professionals, benefiting more than 6 million patients
  • A comprehensive benefits package including group insurance from day one, a group RRSP with employer contributions, 24/7 telemedicine, an employee and family assistance program, and a minimum of 3 weeks vacation per year

At LGI Healthcare Solutions, we value diversity and equal access to employment.