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Remote E Learning Developer Jobs in Quebec (NOW HIRING)

We offer a range of benefits, including Flexible working hours, including remote work for a ... D. degree in Artificial Intelligence, Machine Learning, Data Science, or a related field. * You ...

Having recognized the advantages of remote work, including employee morale, productivity, reduced ... If you thrive on tackling interesting challenges with continuous learning opportunities, then ...

Having recognized the advantages of remote work, including employee morale, productivity, reduced ... If you thrive on tackling interesting challenges with continuous learning opportunities, then ...

Familiarity with various machine learning frameworks and libraries. * Knowledge of cloud services ... Attractive benefits, e.g. company pension scheme or various health offers * A modern environment in ...

Familiarity with various machine learning frameworks and libraries. * Knowledge of cloud services ... Attractive benefits, e.g. company pension scheme or various health offers * A modern environment in ...

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Remote E Learning Developer information

See Quebec salary details

$12

$39

$67

How much do remote e learning developer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote e learning developer in Quebec is $39.73, according to ZipRecruiter salary data. Most workers in this role earn between $30.77 and $44.47 per hour, depending on experience, location, and employer.

What is a remote e learning developer?

A Remote E Learning Developer designs, develops, and implements online educational content, such as courses, tutorials, and interactive learning materials. They use e-learning authoring tools, multimedia, and instructional design principles to create engaging training experiences. Working remotely, they collaborate with educators, subject matter experts, and organizations to tailor content for learners. Their role may also include troubleshooting technical issues, ensuring accessibility, and optimizing courses for different platforms.

What are some typical daily responsibilities for a remote e learning developer?

As a Remote E Learning Developer, your typical day might include designing engaging online course modules, developing interactive multimedia content, and collaborating virtually with subject matter experts to ensure accuracy and effectiveness. You will often upload and manage course materials in learning management systems, troubleshoot user issues, and gather learner feedback to continuously improve content. Regular virtual meetings and check-ins with instructional designers, project managers, and other team members are common to track progress and maintain cohesive learning experiences. This remote role combines both independent task management and teamwork, making strong communication and organizational skills essential.

What are the key skills and qualifications needed to thrive in the remote e learning developer position, and why are they important?

To thrive as a Remote E Learning Developer, you need expertise in instructional design, multimedia content creation, and strong digital literacy, often backed by a degree in education or a related field. Familiarity with Learning Management Systems (LMS) like Moodle or Canvas, authoring tools such as Articulate Storyline or Adobe Captivate, and relevant certifications (e.g., ATD) are highly valued. Excellent communication, time management, and self-motivation are critical soft skills for remote collaboration and project deadlines. These abilities ensure high-quality, engaging learning experiences and effective teamwork in a virtual environment.

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

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

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

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

What cities in Quebec are hiring for Remote E Learning Developer jobs?

Cities in Quebec with the most Remote E Learning Developer job openings:

Military/Veteran Mental Health Experts - Remote

YO AI Labs

Montreal, QC • Remote

$200 - $350/hr

Full-time

Posted 10 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.