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Ai Project Manager Jobs in Quebec (NOW HIRING)

Support the Project Management Office (PMO) in analyzing and improving the performance of its ... We use AI-enabled tools in our recruitment platform (iCIMS) for tasks like resume parsing and ...

Role Overview The AI Delivery Lead is responsible for the endtoend delivery of AIpowered Copilot agents within Client's COO and PMO domain This role bridges delivery leadership with handson solution ...

Family Law Attorney - Remote

Montreal, QC ยท Remote

$150 - $400/hr

No prior AI experience is required--your legal knowledge, analytical skills, and family law ... Digital Project Management Tools * Technology Adaptability * Organizational Skills Preferred ...

We invest in our people and projects, and that shared commitment drives how we work, grow, and ... Degree or diploma in information management, information technology, business administration ...

We invest in our people and projects, and that shared commitment drives how we work, grow, and ... Degree or diploma in information management, information technology, business administration ...

AI Analyst

Montreal, QC ยท On-site

We invest in our people and projects, and that shared commitment drives how we work, grow, and ... Degree or diploma in information management, information technology, business administration ...

Criminal Lawyer - Remote

Montreal, QC ยท Remote

$140 - $400/hr

Provide clear, actionable feedback to improve AI-generated legal outputs. * Collaborate remotely with project managers and technical teams to clarify requirements and deliverables. * Summarize legal ...

Participate in project management activities, including deliverable tracking and stakeholder ... Curiosity and enthusiasm for artificial intelligence (AI). * Ability to thrive in a fast-paced and ...

You will be expected to manage your own projects, develop them in Python, and work with the DevOps ... The team serves as the hub for AI and machine learning across the entire organization and all our ...

You will be expected to manage your own projects, develop them in Python, and work with the DevOps ... The team serves as the hub for AI and machine learning across the entire organization and all our ...

Showing results 41-60

Ai Project Manager information

What is an AI project manager?

An AI Project Manager is a professional responsible for overseeing projects that involve artificial intelligence technologies. They bridge the gap between technical AI teams and business stakeholders, ensuring that projects are delivered on time, within budget, and meet the desired outcomes. Their duties often include planning, coordinating resources, managing risks, and communicating progress. AI Project Managers must understand both project management methodologies and the fundamentals of AI to effectively guide their teams. They also play a crucial role in aligning AI initiatives with organizational goals.

What skills and qualifications are needed to thrive as an AI project manager?

To thrive as an AI Project Manager, you need a solid understanding of AI concepts, project management methodologies, and experience with cross-functional teams, often backed by a degree in computer science or a related field. Familiarity with tools like JIRA, Asana, and AI development platforms, as well as certifications such as PMP or Agile Scrum Master, is typically required. Strong leadership, communication, and problem-solving skills help facilitate collaboration and manage stakeholder expectations. These competencies are crucial to successfully delivering complex AI projects on time and within scope, ensuring alignment between technical teams and business goals.

How does an AI project manager typically collaborate with data scientists and software engineers during a project?

An AI Project Manager serves as a crucial bridge between technical teams, like data scientists and software engineers, and stakeholders. They facilitate clear communication by translating project goals into actionable tasks and ensuring timelines are met. Regular check-ins, sprint planning, and progress reviews are common, allowing the manager to address roadblocks and realign priorities as needed. This collaborative approach helps ensure that project deliverables align with both technical specifications and business objectives.

What is the difference between Ai Project Manager vs Data Scientist?

AspectAi Project ManagerData Scientist
Required CredentialsBachelor's in CS, Business, or related; certifications in AI/ML project managementBachelor's or higher in CS, Statistics, or related; advanced degrees often preferred
Work EnvironmentOversees AI projects, collaborates with technical teams and stakeholdersAnalyzes data, develops models, and interprets results
Industry UsageUsed across tech, finance, healthcare for managing AI initiativesCommon in research, tech, and analytics sectors

The Ai Project Manager focuses on leading AI projects, coordinating teams, and ensuring project goals are met. In contrast, Data Scientists primarily analyze data, develop models, and generate insights. Both roles often collaborate but serve different functions within AI and data-driven environments.

How do you become an AI project manager?

To become an AI project manager, candidates typically need a background in computer science, data science, or related fields, along with experience managing technology projects. Strong skills in AI concepts, project management methodologies like Agile, and familiarity with tools such as JIRA or Trello are important. Earning certifications like PMP or Scrum Master can also enhance qualifications.

How much do AI project managers make?

AI project managers typically earn between $90,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and data analysis can earn higher salaries, often exceeding $180,000.

What are popular job titles related to Ai Project Manager jobs in Quebec?

For Ai Project Manager jobs in Quebec, the most frequently searched job titles are:

Infographic showing various Ai Project Manager job openings in Quebec as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

SWE AI Training Data Expert - Remote

YO AI Labs

Montreal, QC โ€ข Remote

$80 - $120/hr

Full-time

Posted 11 days ago


Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.