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Generative Ai Testing Jobs in Ontario (NOW HIRING)

Apply generative AI techniques to generate synthetic data, create realistic simulations, and ... build processes, testing, and operations. * Strong collaboration and elaboration skills ...

... testing, documentation, and continuous improvement. Enough about us, let's talk about you You are an enthusiastic technology professional with a passion for Generative AI, platform operations, and ...

New

Senior Software Engineer

Toronto, ON · Hybrid

CA$142K - CA$158K/yr

New Relic, DataDog) Experience with automated testing frameworks (e.g. Selenium, Cypress ... Github Copilot) and knowledge of latest Generative AI Model capabilities would be an asset Bonus ...

Apply an agent-first methodology using Generative AI. Create structured, behavior-oriented prompts ... Integrate AI tools like Claude Code, Kiro and Cursor into development and testing workflows. Evolve ...

... applying generative AI tools to improve developer productivity and solution delivery. Design ... successful testing and release of software changes Provide L2 (2nd line) support as required ...

In this role, you will guide the design and delivery of generative AI solutions, shape the ... Establish and promote best practices in AI engineering, covering testing, guardrails, responsible ...

... generative AI concepts, including prompts, context, tool use, structured outputs, hallucination risk and the need for human review and operational guardrails. * Experience testing configured ...

Lead the planning and execution of system, integration, and user acceptance testing (UAT ... Familiarity with AI, Generative AI, automation technologies and concepts * Strong knowledge with AI ...

Showing results 41-60

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 do I become a Generative AI Testing?

To become a Generative AI Tester, develop skills in machine learning, natural language processing, and programming languages like Python. Gain experience with AI frameworks such as TensorFlow or PyTorch and understand data quality and model evaluation techniques. Certifications in AI or data science can enhance your qualifications and improve job prospects.

Is Generative AI Testing a good career?

Generative AI Testing is a growing field within AI development that involves evaluating the quality and safety of AI-generated content. It requires skills in machine learning, programming, and understanding AI models, making it a promising career path with increasing demand as AI technologies expand. Professionals in this area can find opportunities in tech companies, research labs, and startups focused on AI innovation.

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 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.

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 job categories do people searching Generative Ai Testing jobs in Ontario look for? The top searched job categories for Generative Ai Testing jobs in Ontario are:
What cities in Ontario are hiring for Generative Ai Testing jobs? Cities in Ontario with the most Generative Ai Testing job openings:
Infographic showing various Generative Ai Testing job openings in Ontario as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 61% In-person, 21% Hybrid, and 18% Remote job distribution.

Senior Data Scientist - GenAI

Manulife

Toronto, ON • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago


Job description

We are seeking a highly skilled and motivated Senior Data Scientist to join our Group Functions Advanced Analytics team. As a Senior Data Scientist - GenAI, you will develop and implement robust analytical solutions for various parts of Manulife and JH by applying traditional and emerging ML and AI techniques including but not limited to generative AI techniques, such as applying prompt engineering, working with RAG applications, fine-tuning LLM models, and deploying applications on cloud platforms like Azure. Your expertise in these areas will play a crucial role in driving data-driven decision-making and enhancing our business processes.

Position Responsibilities:

  • Develop and lead machine learning and AI driven projects that span the breadth of Group Functions (Corporate Functions) with high business impact
  • Apply generative AI techniques to generate synthetic data, create realistic simulations, and enhance data analysis capabilities.
  • Apply prompt engineering techniques, build with RAG (Retrieval-Augmented Generation) applications, and fine-tune language models and improve their performance in specific tasks.
  • Design and complete experiments to validate and optimize machine learning models, ensuring accuracy, efficiency, and scalability.
  • Deploy machine learning models and applications on cloud platforms like Azure ML or Databricks, ensuring flawless integration and scalability.
  • Stay up-to-date with the latest advancements in machine learning, generative AI, prompt engineering, RAG applications, and cloud technologies, and apply them to enhance our data science capabilities.
  • Collaborate with data engineers and ML engineers to integrate data science solutions into existing systems and workflows.
  • Communicate sophisticated technical concepts and findings to both technical and non-technical partners, ensuring clear understanding and agreement
  • Peer review other Data Scientists' work and participate in model and code reviews
  • Clean, preprocess, and analyze large datasets to extract meaningful insights and patterns.
  • Collaborate with multi-functional teams to identify and define business requirements, ensuring alignment with data science objectives.

Required Qualifications:

  • Bachelor', Master's degree, or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or a related field.
  • 5+ years of experience in developing probabilistic models, data mining, and machine learning algorithms, including real world experience of applying analytics models, with a strong focus on machine learning, generative AI, prompt engineering, and RAG applications
  • Proficiency in programming languages such as Python and experience with machine learning libraries/frameworks, e.g., PyTorch, scikit-learn, Hugging Face, SQL, graph databases (Neo4j/Cypher, Cosmos DB/Gremlin).

Preferred Qualifications:

  • Knowledge of professional software engineering practices & standard methodologies for the full software development process, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Strong collaboration and elaboration skills; demonstrates a strong commitment to organizational success; shares resources and demonstrates knowledge across the organization.
  • Strong problem-solving skills and the ability to think critically and creatively to develop innovative solutions.
  • Excellent communication and collaboration skills, with the ability to work optimally in multi-functional teams.

When you join our team:

  • We'll empower you to learn and grow the career you want.
  • We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
  • As part of our global team, we'll support you in shaping the future you want to see.

#LI-Hybrid

The role being advertised is an existing vacancy.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com.

Referenced Salary Location

Toronto, Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$129,400.00 CAD - $179,400.00 CAD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.

Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact hr@manulife.com for more information about U.S.-specific paid time off provisions.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.