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Live In Ai Validation Jobs in Toronto, ON (NOW HIRING)

Senior AI Engineer

Toronto, ON · Hybrid

CA$120K - CA$160K/yr

Architect and implement AI-powered features end-to-end, from model integration and prompt ... Fine-tune and optimize models for performance, reliability, and cost efficiency in live ...

No prior experience in AI is required -- your domain knowledge is what matters. Key Responsibilities: * Design and implement checkers for competitive programming problems with multiple valid outputs ...

You will also play a key role in growing the AI Labb team by technically vetting and onboarding ... Must hold a valid AWS Certified Solutions Architect (Associate or Professional). * Hands-On Coding:

ML/AI Engineer

Toronto, ON · On-site +1

CA$110K - CA$150K/yr

Are you looking to thrive in a stimulating work environment? Join Levio, a leader in digital ... Build training, validation, and inference pipelines for ML and LLM-based solutions * Implement ...

Showing results 21-40

Live In Ai Validation information

What is a live in AI validation job?

Live In AI Validation jobs involve working closely with artificial intelligence systems to test, review, and improve their performance in real-world settings. Professionals in this role typically monitor the outputs of AI algorithms, validate data quality, and provide feedback to ensure the AI operates accurately and ethically. These jobs may require living on-site or being embedded in environments where the AI is deployed, such as smart homes, research labs, or automated facilities. The goal is to bridge the gap between AI development and real-world application, ensuring the technology is reliable and effective.

What are the key skills and qualifications needed to thrive as a live in AI validation specialist?

To thrive as a Live In AI Validation Specialist, you need a solid background in computer science, data analysis, and machine learning concepts, often supported by a relevant degree or equivalent experience. Familiarity with tools such as Python, TensorFlow, and data annotation platforms, as well as an understanding of AI validation protocols, is typically required. Attention to detail, critical thinking, and strong communication skills are essential soft skills for ensuring accurate validation and effective collaboration with development teams. These competencies are crucial for maintaining AI system quality, reliability, and alignment with real-world requirements.

What are some common challenges faced by professionals in live in AI validation roles, and how can they be addressed?

Professionals in Live-In AI Validation often encounter challenges such as managing large-scale data collection in real-time environments and ensuring the accuracy of AI outputs in dynamic, real-world settings. Collaboration with data scientists, engineers, and end users is key to troubleshooting unexpected behaviors and improving system reliability. Strong communication and adaptability help team members quickly respond to new scenarios or hardware changes during validation. Staying up-to-date with the latest AI validation tools and continuous feedback loops can also significantly enhance the effectiveness of the validation process.

What is the difference between Live In Ai Validation vs Live In Data Entry?

AspectLive In Ai ValidationLive In Data Entry
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, client-facing, flexible hoursRemote, client-facing, flexible hours
Industry UsageAI, tech, data servicesVarious industries, administrative tasks
Common Search IntentAI validation, data verification jobsData entry, administrative jobs

Live In Ai Validation involves verifying and validating AI-generated data to ensure accuracy, often requiring critical thinking and familiarity with AI tools. In contrast, Live In Data Entry focuses on inputting data into systems, emphasizing speed and accuracy. Both roles are remote and require similar skills but serve different functions within the data management industry.

What are popular job titles related to Live In Ai Validation jobs in Toronto, ON?

For Live In Ai Validation jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Live In Ai Validation jobs in Toronto, ON look for?

The top searched job categories for Live In Ai Validation jobs in Toronto, ON are:

Infographic showing various Live In Ai Validation job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 30% Part Time, and 3% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

CA$128K - CA$178K/yr

Full-time

Medical, Dental, Life, Retirement

Posted 7 days ago


Key responsibilities

  • Partner with business leaders to identify, shape, and validate AI opportunities and develop AI use cases.

  • Engage with advisors to gather feedback, educate on AI capabilities, and translate business needs into AI requirements.

  • Measure and track value realization from AI use cases and ensure responsible AI practices are followed.


Job description

Permanent Full Time 

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As the Director, AI Wealth Enablement you will be responsible for enabling the effective, responsible, and value driven adoption of Artificial Intelligence in support AI use case implementation within the Wealth business. This role partners with business leaders to identify, shape, and validate AI opportunities, translating business needs into clear AI use cases. Also working closely with Technology to ensure solutions are feasible, prioritized, and deliver measurable value. A key component of the role will be engaging with Advisors directly to gather feedback on use cases and educate on AI capabilities. The Director will operate as an enabler and will partner with leaders in all functional areas to accelerate the business strategy using AI - this includes opportunity identification, business case development, prioritization, and value realization. Success in this role will be measured by AI driven value realization across Wealth, which will be achieved through influence, strong stakeholder relationships, and a deep understanding of both business outcomes and AI capabilities

What you will do:

  • Partner with functional leaders to identify high value opportunities where AI can improve outcomes and efficiency as related to advisor experience, dealer processes, compliance needs, and other wealth opportunities
  • Work with business leaders to unpack and shape AI business cases, clarifying the problem to solve, expected benefits, risks, and success measures before solutions are pursued
  • Establish channels to engage directly with advisors; gather feedback to form as requirements to solve advisor productivity and complexity issues using AI, while also being an advocate for existing and emerging AI capabilities that advisors should be adopting
  • As part of business architecture align with existing mandate to translate business needs into clear AI use cases and requirements, partnering with technology, data, and architecture teams to prioritize, assess feasibility, and alignment to enterprise AI capabilities and standards
  • Build AI literacy and proficiency across leadership teams by sharing insights, patterns, and practical examples of what is working, and what is not, across the organization
  • Measure and track value realization from use cases
  • Champion responsible AI practices, ensuring compliance with privacy, security, and ethical standards
  • Stay current on AI trends, emerging technologies, and competitor offerings

What you will bring:

  • Deep understanding of AI capabilities and limitations (including generative AI, automation, analytics, and machine learning) and how they apply in regulated environments such as financial service, inclusive of wealth
  • Strong ability to bridge business strategy and technology, translating business problems into actionable AI opportunities and explaining AI concepts in clear, practical terms
  • Experience with engaging stakeholders in the field; advisors, and/or advisor support teams
  • Demonstrated experience developing, assessing, and prioritizing business cases, including benefits realization and outcome measurement
  • Demonstrated ability to lead through influence and drive cross-functional outcomes across business and technology stakeholders
  • Exceptional stakeholder leadership and partnership skills, with confidence engaging senior business, compliance, and technology leaders
  • Strong judgment and systems thinking, balancing innovation with risk, governance, and long-term sustainability
  • Excellent communication and problem-solving skills
  • Passion for innovation, with a track record of challenging the status quo and embracing change in AI adoption
  • Learning mindset with ability to experiment, embrace learnings, and pivot quickly

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The base salary for this position is between $128,200 - $178,200 annually. This represents base salary only and does not represent other variable compensation components of our total compensation ( i.e. annual bonus, commission etc). If you are selected to move forward in our recruitment process, your recruiter will be able to discuss additional details of our total rewards program with you.

Career opportunities will be open a minimum of 5 business days from the date of posting, closing dates will vary depending on the search activity. All applications received will be reviewed on a rolling basis.

Grow with Canada Life 

We're united by a shared purpose: to improve the financial, physical and mental well-being of Canadians. Our company is trusted by 1 in 3 Canadians and contributes to the strength of communities across the country.  

We're looking for people who live our values everyday: we step up, we do the right thing, and we deliver - for our customers, communities and each other. Are you someone who always strives to do the right thing, who steps up for themselves and others, and who delivers with impact? Then we want to hear from you! 

What we offer:  

We're committed to supporting our employees through every stage of their career. Here's what you can expect as a full-time or part-time permanent team member: 

  • Career Development: Opportunities for career advancement, access to industry-leading learning programs and up to$2,000 annually towards education reimbursement. 
  • Health & Wellness:Flexible health and dental benefits, plus a $5,000 mental health benefit to support your well-being. 
  • Time Off:In addition to regular vacation and personal days, we support community involvement with a volunteer day. 
  • Financial Security:Company-matching pension plan,share ownership program and additionalinvestment options. 
  • Rewards and Recognition: Employee recognition programs, service milestone celebrations, employee discounts and more!  
  • Emphasis on Community: We provide a workplace where employees feel connected and supported through Employee Resource Groups (ERGs), mentorship programs, social clubs and events.  

Learn more about Canada Life.  

We're committed to removing barriers and ensuring equal access to employment. Applicants requiring reasonable accommodation during the application process may contact  talentacquisitioncanada@canadalife.com. All information provided will be handled in accordance with applicable laws and Canada Life policies.  

Canada Lifewould like to thank all applicants, however only those who qualify for an interview will be contacted. 

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