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Ai Model Trainer Jobs in Quebec (NOW HIRING)

Our vision is to be the most trusted provider of innovative defense training solutions ... Familiarity with Microsoft Fabric, Lakehouse/Warehouse concepts, semantic models, Gold-layer ...

Solution Architect, AI

Montreal, QC · On-site

  • Medical

  • Retirement

... training, fine-tuning, and inference. * Experience implementing governance frameworks to ensure ... Experience with large language models (LLMs), prompt engineering, and retrieval‑augmented ...

Solution Architect, AI

Montreal, QC · Hybrid

  • Medical

  • Retirement

... training, fine-tuning, and inference. * Experience implementing governance frameworks to ensure ... Experience with large language models (LLMs), prompt engineering, and retrieval‑augmented ...

Solution Architect, AI

Montreal, QC · Hybrid

  • Medical

  • Retirement

... training, fine-tuning, and inference. * Experience implementing governance frameworks to ensure ... Knowledge of model evaluation, optimization, and finetuning techniques. * Ability to communicate ...

Solution Architect, AI

Montreal, QC · Hybrid

  • Medical

  • Retirement

... training, fine-tuning, and inference. Experience implementing governance frameworks to ensure ... Experience with large language models (LLMs), prompt engineering, and retrieval‑augmented ...

Solution Architect, AI

Laval, QC · Hybrid

  • Medical

  • Retirement

... training, fine-tuning, and inference. * Experience implementing governance frameworks to ensure ... Experience with large language models (LLMs), prompt engineering, and retrieval‑augmented ...

Solution Architect, AI

Longueuil, QC · Hybrid

  • Medical

  • Retirement

... training, fine-tuning, and inference. * Experience implementing governance frameworks to ensure ... Experience with large language models (LLMs), prompt engineering, and retrieval‑augmented ...

... relational modeling o Large-scale training systems · Publications in top-tier ML venues (e.g ... SAP is uniquely positioned to lead the next wave of AI by infusing intelligence directly into the ...

Traditional ML cloud applications (training pipelines, deployment, monitoring, iteration) * LLM ... Experience with MCP or similar standardized patterns for connecting models to tools and context

Lead AI/ML Engineer

Montreal, QC · On-site

CA$130K - CA$160K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Develop scalable data models and algorithms supporting user 360 views, churn prediction, and ... By investing in professional development through training and educational opportunities, we ensure ...

Senior ML Research Developer

Montreal, QC · On-site

  • Medical

  • Retirement

  • PTO

... a novel AI safety agenda. In this role, you will work closely with ML research scientists to solve difficult training and inference problems using very large models. Key responsibilities

... governance, training-data lineage, and consent chains. * Partner across functions. Translate ... Experience working with AI team developing predictive models and ability to act as the liaison ...

Showing results 41-60

Ai Model Trainer information

What does an AI model trainer do?

An AI Model Trainer is responsible for developing, training, and refining artificial intelligence models using large datasets. They preprocess data, select appropriate algorithms, monitor model performance, and tune parameters to improve accuracy and efficiency. Model trainers often collaborate with data scientists, engineers, and domain experts to ensure the AI meets specific requirements and delivers reliable results. Their work is essential for creating applications like image recognition, natural language processing, and predictive analytics.

What are some typical challenges faced by AI model trainers when working with large datasets?

AI Model Trainers frequently encounter challenges such as ensuring data quality, handling imbalanced datasets, and maintaining data privacy. Working with large datasets often requires careful preprocessing and cleaning to avoid biases and inaccuracies in the model. Additionally, trainers must collaborate closely with data engineers, domain experts, and software developers to validate data sources and to fine-tune models for optimal performance. Addressing these challenges is critical for producing reliable, high-performing AI systems.

What are the key skills and qualifications needed to thrive as an AI model trainer, and why are they important?

To thrive as an AI Model Trainer, you need strong expertise in machine learning, data analysis, and a background in computer science or a related field, often supported by an advanced degree. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with data labeling and annotation tools are essential. Attention to detail, critical thinking, and effective communication help in accurately training and refining AI models while collaborating with diverse teams. These skills ensure that AI systems are trained accurately and efficiently, leading to reliable and ethical AI solutions.

What is the difference between Ai Model Trainer vs Data Scientist?

AspectAi Model TrainerData Scientist
Required CredentialsBachelor's in CS, ML, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; advanced analytics skills
Work EnvironmentHands-on model training, data preprocessing, tuningData analysis, modeling, visualization, reporting
Employer & Industry UsageTech companies, AI startups, research labsTech, finance, healthcare, consulting firms
Search & Comparison IntentUnderstanding roles in AI developmentAnalyzing data to inform decisions

While both roles involve working with data and machine learning, an Ai Model Trainer primarily focuses on training and fine-tuning AI models, whereas a Data Scientist emphasizes analyzing data, building models, and deriving insights. The roles often overlap but serve different stages of AI and data projects.

What are popular job titles related to Ai Model Trainer jobs in Quebec?

For Ai Model Trainer jobs in Quebec, the most frequently searched job titles are:

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

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

What cities in Quebec are hiring for Ai Model Trainer jobs?

Cities in Quebec with the most Ai Model Trainer job openings:

Infographic showing various Ai Model Trainer job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

BI & AI Analyst

Top Aces, Inc.

Dorval, QC • On-site

Full-time

Posted 25 days ago


Job description

Founded in 2000 by three former Royal Canadian Air Force (RCAF) CF-18 fighter pilots who identified an opportunity to improve military readiness training, Top Aces has since established itself as the world leader in contracted adversary air (ADAIR) services and joint terminal attack controller (JTAC) training.

We pride ourselves on our unblemished safety record, having flown an industry leading 130,000+ hours of operational training without accident in support of customers worldwide, including Canada, the U.S., Germany, and multiple other NATO allies and international partner nations.

Our vision is to be the most trusted provider of innovative defense training solutions, continuously elevating standards in an industry where "Experience Matters." This commitment to innovation and technology ensures we remain adaptable, training allied militaries to succeed against evolving threats.

Top Aces’ dynamic team contributes to delivering on our purpose of training the next generation of combat leaders by living our values of Service, Integrity, Excellence, and Together every day!

Join our team!

Role Summary 

The BI / AI Analyst helps the business turn trusted data into better decisions. This role works directly with business teams to build Power BI dashboards, define meaningful KPIs, uncover insights, and identify practical BI/AI opportunities that improve performance across Finance, Inventory, Operations, and other priority areas. The analyst uses governed Gold-layer datasets prepared by the technical BI/Data team and focuses on reporting, insight generation, adoption, and business value. This is a business-facing role, not a heavy data engineering or advanced machine learning development role. 

 

Key Responsibilities 

  • Build trusted business reporting: Develop clear, user-friendly Power BI dashboards and reports using governed Gold-layer datasets. 
  • Turn business questions into insights: Translate reporting needs into dashboards, KPIs, visualizations, trends, and practical recommendations. 
  • Support decision-making: Analyze data across Finance, Inventory, Operations, and other business areas to identify risks, opportunities, gaps, and improvement ideas. 
  • Partner with business users: Work with SMEs to validate requirements, confirm data accuracy, interpret results, and ensure reports answer real business needs. 
  • Strengthen KPI governance: Document metric definitions, assumptions, calculation logic, data sources, business rules, and usage guidance. 
  • Support prioritization: Provide input to the Data Product Owner on reporting needs, dataset requests, AI use cases, business impact, adoption risks, and dependencies. 
  • Drive adoption: Provide training, coaching, documentation, and follow-up support so users can confidently use dashboards and self-service analytics. 
  • Measure value: Track dashboard usage, user feedback, data quality concerns, adoption levels, and business value where measurable. 
  • Identify AI opportunities: Help business teams frame practical AI opportunities such as forecasting, optimization, anomaly detection, automation, Copilot-enabled analytics, and decision support. 
  • Collaborate with technical teams: Work with BI/Data Developers, data owners, and IT to confirm dataset readiness, data quality issues, semantic model needs, and reporting constraints. 

 

Required Qualifications 

  • Bachelor’s degree in Business Analytics, Data Analytics, Computer Science, Statistics, Engineering, Finance, Operations Management, or a related field. 
  • 3–7 years of experience in business intelligence, reporting, analytics, business analysis, or data-driven business support. 
  • Strong hands-on Power BI experience, including dashboard design, data visualization, usability, DAX basics, and report development. 
  • Working knowledge of SQL and structured datasets, with the ability to explore, validate, interpret, and explain business data. 
  • Experience gathering business requirements and converting them into KPIs, dashboards, analytical outputs, and recommendations. 
  • Ability to define and document business metrics, reporting assumptions, data definitions, and performance management outputs. 
  • Strong communication skills, with the ability to explain insights clearly to business users, technical teams, and leadership audiences. 
  • Collaborative mindset and ability to work effectively with SMEs, Data Product Owners, BI/Data Developers, IT, and non-technical stakeholders. 

 

Preferred Qualifications 

  • Experience in aviation, MRO, engineering, operations, finance, inventory management, supply chain, or another regulated operational environment. 
  • Familiarity with Microsoft Fabric, Lakehouse/Warehouse concepts, semantic models, Gold-layer datasets, or governed reporting environments. 
  • Knowledge of ERP, MRO, or enterprise systems such as Ramco, SAP, IFS, AMOS, Oracle, UKG, or HCL Notes. 
  • Exposure to AI opportunity identification, forecasting, optimization, automation, anomaly detection, or AI-assisted analytics. 
  • Experience with Microsoft Copilot, Power BI Copilot, or other AI productivity tools. 
  • Experience supporting self-service analytics, data governance, reporting standards, data literacy, or user adoption initiatives. 
  • Experience designing executive dashboards, scorecards, management reports, adoption metrics, or business value tracking reports. 

 

Key Competencies 

  • Analytical thinking and strong business curiosity 
  • Clear dashboard design and data visualization skills 
  • Data storytelling and executive-level communication 
  • Strong collaboration with business and technical stakeholders 
  • KPI definition, metric governance, and data validation discipline 
  • Business process improvement and value realization mindset 
  • Practical AI opportunity framing 
  • Change management, user adoption, and data literacy coaching 
  • Ability to influence without authority 
  • Ownership, continuous improvement, and disciplined execution 

Security Clearance Requirements/ CGP / ITAR:

Position requires Level II clearance with the Canadian Government and the ability to gain access to the Canadian Controlled Goods Program

By joining Top Aces, you will find:

  • A work environment in which service, integrity, excellence and teamwork are highly valued;
  • Opportunities for development and growth;
  • Multidisciplinary and multicultural collaboration at a local and global level;
  • A flexible schedule;
  • Attractive benefit plan.

Come share your passion with us! Here, you’ll be encouraged, empowered, and challenged to be your best self.


Equal Employment Opportunity

At Top Aces, all employees are welcome regardless of race, nationality, color, religion, sex, gender identity or expression, sexual orientation, disability or age. The masculine form may be used in this job description solely for ease of reading but refers to men, women and gender diversity.

#LI-LS1#LI-Hybrid