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Ai Recruiting Jobs in Quebec (NOW HIRING)

Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their ...

Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their ...

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Ai Recruiting information

What is the difference between Ai Recruiting vs Data Analyst?

AspectAi RecruitingData Analyst
Required CredentialsRecruitment certifications, HR experience, knowledge of AI toolsStatistics, data analysis, and visualization certifications or degrees
Work EnvironmentHR departments, recruitment agencies, tech companiesBusiness, finance, healthcare, and tech industries
Employer & Industry UsageUsed by HR teams to identify suitable candidates using AIUsed across industries to interpret data and generate insights
Search & Comparison IntentUnderstanding AI's role in recruitment processesAnalyzing data to inform business decisions

While both roles involve working with data and technology, Ai Recruiting focuses on leveraging AI tools to identify and attract candidates, often within HR and recruitment settings. Data Analysts interpret complex data sets to support decision-making across various industries. The two roles share skills in data handling but differ in their primary application and industry focus.

What are the key skills and qualifications needed to thrive as an AI recruiter?

To thrive as an AI Recruiter, you need a strong understanding of recruitment processes, talent sourcing, and a working knowledge of AI and machine learning concepts, often supported by a background in HR or technical recruiting. Familiarity with applicant tracking systems (ATS), AI-driven sourcing tools, and data analytics platforms is typically required. Exceptional communication, relationship-building, and adaptability are crucial soft skills for engaging candidates and collaborating with hiring managers. These competencies are vital for efficiently identifying top tech talent and leveraging AI tools to optimize hiring outcomes.

How does an AI recruiting specialist typically collaborate with hiring managers and technical teams?

AI Recruiting specialists often serve as a bridge between hiring managers, technical teams, and candidates. They work closely with hiring managers to understand job requirements and use AI-driven tools to source and screen candidates efficiently. Regular meetings and feedback sessions help ensure that the candidates identified align with both the technical needs and the team culture. This collaborative process helps streamline hiring, reduce bias, and fill roles with top talent more quickly.

What is AI recruiting?

AI recruiting refers to the use of artificial intelligence technologies to automate and enhance various stages of the recruitment process. This includes tasks like screening resumes, scheduling interviews, sourcing candidates, and even predicting candidate suitability based on data analysis. AI recruiting tools help companies save time, reduce bias, and improve the overall hiring experience for both recruiters and applicants. These systems can analyze large amounts of data quickly, allowing recruiters to focus more on engaging with top talent.

How does AI recruiting work?

AI recruiting involves using artificial intelligence tools to automate and enhance the hiring process, including screening resumes, assessing candidate fit through algorithms, and scheduling interviews. Recruiters often utilize machine learning models and data analysis to identify the most suitable candidates efficiently and objectively.
Infographic showing various Ai Recruiting job openings in Quebec as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, 1% Temporary, and 3% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution.

Remote AI Agent Productivity Specialist

Micro1

Westmount, QC โ€ข Remote

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

AI Agent Productivity Specialist
$30 - $90/hourpay
Required Skills
Artificial Intelligence
automation
workflows
analysis
productivity
About micro1
micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.

Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.

Role Title: AI Agent Productivity Specialist


Role Type: Contractor


Location: Remote


micro1 is engaging AI Agent Productivity Specialists to contribute to a customer project focused on advancing the next generation of AI productivity tools. In this role, you'll apply your real-world experience using AI to evaluate, improve, and shape how AI systems support complex professional work. We're looking for advanced AI users who rely on AI as a core part of their daily workflow to solve problems, automate processes, conduct research, and drive productivity. Your expertise will help improve how future AI systems reason, collaborate, and support knowledge workers.


Scope of Work

  1. Design, implement, and optimize advanced AI-powered workflows that automate complex business processes and improve productivity.
  2. Integrate AI with workplace tools, data sources, and connected systems to create efficient, multi-step workflows.
  3. Evaluate AI-generated outputs, identify limitations, and provide high-quality feedback to improve AI reasoning, workflow design, and user experience.
  4. Conduct complex research, analysis, and decision-support tasks using AI, transforming information into clear, actionable insights.
  5. Adapt workflows across different AI platforms and evolving technologies, selecting the best approach based on the task and available capabilities.
  6. Identify opportunities to improve AI adoption and productivity within professional environments by sharing best practices and effective workflow patterns.

Preferred Qualifications

  1. Extensive hands-on experience using AI as a core part of your daily professional workflowโ€”not just for occasional assistance.
  2. Demonstrated experience designing or managing sophisticated, multi-step AI workflows involving workplace tools, connected systems, or data integrations.
  3. Strong analytical, critical thinking, and problem-solving skills, with the ability to evaluate AI outputs and determine when human judgment is required.
  4. Comfortable learning and adapting to different AI platforms and workflow environments as tools and capabilities evolve.
  5. Curious and proactive about exploring new AI capabilities, experimenting with workflows, and continuously improving productivity.
  6. Experience introducing, promoting, mentoring, or scaling AI adoption within a team or organization is highly valued.
  7. Professional background in business operations, engineering, finance, consulting, product management, technology, or a related knowledge-work field.