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Remote Jobs in Quebec (NOW HIRING)

YO AI Labs

AI/ML Engineer - Remote

Montreal, QC · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure.

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$16

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How much do remote jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for remote in Quebec is $30.44, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $29.81 per hour, depending on experience, location, and employer.

What is a remote job?

A remote job is one for which you do not need to be present in an office or physical location on a daily basis. Telework can be done from home or anywhere with a Wi-Fi connection or other digital tools. Sometimes, a company allows workers to work from home a certain number of days per week, while other companies are 100% remote, which means that all work is decentralized. Working a remote job still requires you to perform the same duties as you would in a traditional job, but your responsibilities include being independent, managing your time wisely, and remaining on task without immediate oversight.

What does it mean to have a remote job?

A remote job is a position that allows an employee to work from a location outside of a traditional office setting, such as from home or any place with internet access. Remote jobs use digital communication tools like email, video conferencing, and project management platforms to coordinate work and collaborate with colleagues. These roles can be full-time, part-time, or freelance, and are common in industries like technology, marketing, customer service, and writing. Remote work offers flexibility and can help achieve a better work-life balance, but also requires self-discipline and good time management skills.

What are the key skills and qualifications needed to thrive as a remote worker, and why are they important?

To thrive as a remote worker, strong self-motivation, time management, and relevant job-specific qualifications are essential. Familiarity with collaboration tools like Slack, Zoom, project management software, and sometimes secure VPNs is typically required. Exceptional communication, adaptability, and proactive problem-solving set outstanding remote employees apart. These skills ensure productivity, maintain team cohesion, and help individuals navigate the unique challenges of working outside a traditional office environment.

What are some common challenges of working in a fully remote position and how can they be addressed?

One of the main challenges of remote work is maintaining clear communication and collaboration with your team, as you won't have the benefit of face-to-face interactions. To address this, it's important to be proactive about using digital tools like video calls, chat platforms, and shared documents. Another challenge can be managing work-life balance, since the boundaries between home and work can blur; setting a structured routine and a dedicated workspace can help. Finally, staying motivated and connected to company culture may require extra effort, so participating in virtual team meetings and social events can be beneficial.

What is the difference between Remote vs On-site?

AspectRemoteOn-site
Work EnvironmentWork from any location, often from home or co-working spacesWork at a designated company location or office
Required CredentialsTypically similar; may include digital communication skills and self-managementSimilar credentials; often includes in-person collaboration skills
Employer & Industry UsageCommon across tech, marketing, customer support, and moreStandard in manufacturing, retail, healthcare, and other industries
Search & Comparison IntentPeople looking for flexible, location-independent rolesPeople seeking traditional, in-office roles

Remote jobs offer flexibility and the ability to work from anywhere, while on-site roles require physical presence at a specific location. Both have similar credential requirements but differ mainly in work environment and industry usage. Your choice depends on your preference for location flexibility versus in-person collaboration.

More about Remote jobs

What are popular job titles related to Remote jobs in Quebec?

For Remote jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Remote jobs in Quebec look for?

The top searched job categories for Remote jobs in Quebec are:

What cities in Quebec are hiring for Remote jobs?

Cities in Quebec with the most Remote job openings:

Remote jobs near you
Infographic showing various Remote job openings in Quebec as of August 2026, with employment types broken down into 78% Full Time, 11% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $63,323 per year, or $30.4 per hour.

AI/ML Engineer - Remote

YO AI Labs

Montreal, QC • Remote

$200 - $350/hr

Full-time

Posted 11 days ago

Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.