... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
... models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across ... approach based on the task and available capabilities. * Identify opportunities to improve AI ...
Agent Based Modeling information
See Quebec salary details
$20K - $34K
16% of jobs
$39.8K is the 25th percentile. Wages below this are outliers.
$34K - $48K
22% of jobs
The median wage is $58.7K / yr.
$48K - $62K
16% of jobs
$62K - $76K
11% of jobs
$76K - $90K
9% of jobs
$91.9K is the 75th percentile. Wages above this are outliers.
$90K - $104K
9% of jobs
$104K - $118K
6% of jobs
$118K - $132K
5% of jobs
$132K - $146K
2% of jobs
$146K - $160K
2% of jobs
$160K - $174K
1% of jobs
$20K
$76.1K
$174K
How much do agent based modeling jobs pay per year?
As of Aug 10, 2026, the average yearly pay for agent based modeling in Quebec is $76,080.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,000.00 and $100,000.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive in the agent based modeling position, and why are they important?
To thrive in an Agent Based Modeling role, a strong background in computational modeling, mathematics, and systems analysis is typically required, often supported by a degree in computer science, engineering, or a related field. Proficiency with simulation tools such as NetLogo, AnyLogic, or Repast, as well as programming languages like Python or Java, is highly valuable. Effective communication, critical thinking, and strong collaboration skills help professionals explain complex models to stakeholders and work within multidisciplinary teams. These qualities are crucial for accurately simulating real-world systems, delivering actionable insights, and driving informed decision-making in various industries.
What are some typical challenges faced in an agent based modeling position?
A common challenge in Agent Based Modeling is accurately representing complex, real-world systems with diverse and dynamic agents while balancing computational resources and model simplicity. Professionals in this role often need to validate and calibrate their models with limited or imperfect data, requiring both technical skill and creativity. Additionally, effectively communicating modeling results to non-technical stakeholders and integrating feedback into iterations is a key part of the job. Overcoming these challenges provides rewarding opportunities to contribute to innovative solutions across areas like finance, healthcare, logistics, or social sciences.
What is an agent based modeling?
An Agent-Based Modeling (ABM) job involves developing and implementing simulations that model the interactions of autonomous agents within a system. These roles are common in fields like economics, epidemiology, traffic modeling, and artificial intelligence. Professionals in this role use programming and mathematical models to analyze complex systems and predict emergent behaviors. Key skills typically include coding (Python, NetLogo, or AnyLogic), data analysis, and knowledge of computational modeling techniques.
What are popular job titles related to Agent Based Modeling jobs in Quebec? For Agent Based Modeling jobs in Quebec, the most frequently searched job titles are:
Full-time
This job post has expired today. Applications are no longer accepted.
Job description
AI Agent Productivity Specialist
$30 - $90/hourpay
Required Skills
Artificial Intelligence
automation
workflows
analysis
productivity
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
- Design, implement, and optimize advanced AI-powered workflows that automate complex business processes and improve productivity.
- Integrate AI with workplace tools, data sources, and connected systems to create efficient, multi-step workflows.
- Evaluate AI-generated outputs, identify limitations, and provide high-quality feedback to improve AI reasoning, workflow design, and user experience.
- Conduct complex research, analysis, and decision-support tasks using AI, transforming information into clear, actionable insights.
- Adapt workflows across different AI platforms and evolving technologies, selecting the best approach based on the task and available capabilities.
- Identify opportunities to improve AI adoption and productivity within professional environments by sharing best practices and effective workflow patterns.
Preferred Qualifications
- Extensive hands-on experience using AI as a core part of your daily professional workflow—not just for occasional assistance.
- Demonstrated experience designing or managing sophisticated, multi-step AI workflows involving workplace tools, connected systems, or data integrations.
- Strong analytical, critical thinking, and problem-solving skills, with the ability to evaluate AI outputs and determine when human judgment is required.
- Comfortable learning and adapting to different AI platforms and workflow environments as tools and capabilities evolve.
- Curious and proactive about exploring new AI capabilities, experimenting with workflows, and continuously improving productivity.
- Experience introducing, promoting, mentoring, or scaling AI adoption within a team or organization is highly valued.
- Professional background in business operations, engineering, finance, consulting, product management, technology, or a related knowledge-work field.
About micro1
Sourced by ZipRecruiter
Industry
Software development
Company size
11 - 50 Employees
Headquarters location
Palo Alto, CA, US