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Ai Software Jobs in Quebec (NOW HIRING)

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 ...

Contexte du poste The Applied AI Software Engineer will be responsible for the rapid technical design and delivery of AI agents and frameworks built on top of SIMPRO FSMs. Working closely with the AI ...

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 ...

AI Trainer - Remote

Montreal, QC · Remote

$80 - $120/hr

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 ...

Job Requisition ID # 25WD94058 25WD94058, Software Architect, AI/ML L'affichage de poste en francais suivra / The French posting follows Position Overview If you love building real systems that real ...

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 ...

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Showing results 1-20

Ai Software information

See Quebec salary details

$39K

$132.9K

$198.5K

How much do ai software jobs pay per year?

As of Sep 4, 2026, the average yearly pay for ai software in Quebec is $132,859.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $151,000.00 per year, depending on experience, location, and employer.

What is the difference between Ai Software vs Data Scientist?

AspectAi SoftwareData Scientist
Required CredentialsTypically certifications in AI tools, programming languages (Python, R), and machine learningDegree in Data Science, Computer Science, or related fields; often includes certifications in analytics or machine learning
Work EnvironmentDeveloping, testing, and deploying AI models in software development teamsAnalyzing data, building models, and deriving insights in research or business settings
Employer & Industry UsageTech companies, AI startups, software firmsFinance, healthcare, tech, consulting firms

Ai Software involves creating and implementing AI tools and applications, often requiring programming and software development skills. Data Scientists focus on analyzing data, building predictive models, and providing insights. While both roles work with data and machine learning, Ai Software emphasizes software development and deployment, whereas Data Scientists concentrate on data analysis and interpretation.

What is the easiest AI Software job to get?

Entry-level AI software roles such as AI support technician or junior developer are generally the easiest to obtain, often requiring basic programming skills in languages like Python and familiarity with AI frameworks. These positions typically have lower experience requirements and may offer on-the-job training or certifications to help new entrants get started.

What jobs can I get working with AI?

Jobs working with AI include roles such as AI software engineer, machine learning engineer, data scientist, AI researcher, and AI product manager. These positions typically require skills in programming, data analysis, and understanding of AI algorithms, often using tools like Python, TensorFlow, or PyTorch.
Infographic showing various Ai Software job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $132,859 per year, or $63.9 per hour.

AI Software Engineer - Remote

YO AI Labs

Montreal, QC • Remote

$80 - $120/hr

Full-time

Posted 8 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.