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Remote Front End Developer Jobs in Edmonton, AB (NOW HIRING)

Our home office is located in Edmonton, but can be fully remote for this role. Must be a permanent resident or Canadian citizen. Key Responsibilities * Be part of a team of 2-5 engineers working to ...

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Remote Front End Developer information

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$65K

$116.1K

$153K

How much do remote front end developer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for remote front end developer in Edmonton, AB is $116,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $138,000.00 per year, depending on experience, location, and employer.

What is a remote front end developer?

A Remote Front End Developer is responsible for building and maintaining the user interface of websites and web applications while working from a remote location. They use technologies like HTML, CSS, and JavaScript, along with frameworks such as React or Angular, to create visually appealing and functional experiences for users. Communication and collaboration with designers, back-end developers, and other team members typically happen via online tools like Slack, Zoom, and project management platforms. This role requires strong coding skills, attention to detail, and the ability to work independently while meeting project deadlines.

What skills and qualifications are needed to thrive as a remote front end developer?

To thrive as a Remote Front End Developer, you need a strong command of HTML, CSS, JavaScript, and modern frameworks like React or Vue.js, typically supported by a relevant degree or proven portfolio. Familiarity with version control systems (such as Git), collaborative platforms (like Jira, Trello), and responsive design tools is highly valued, as are certifications like Google’s Mobile Web Specialist. Excellent communication, time management, and problem-solving skills stand out, especially when collaborating remotely across distributed teams. These skills ensure high-quality, user-friendly web applications and smooth teamwork in a remote work environment.

What are common challenges faced by remote front end developers, and how can I overcome them?

Remote front end developers often encounter challenges such as coordinating across different time zones, maintaining effective communication with team members, and staying updated with rapidly evolving technologies. To overcome these, it’s important to establish clear communication routines, use collaborative tools like Slack or Zoom, and participate actively in team meetings and code reviews. Regularly scheduling focused work times, setting boundaries, and engaging in online learning can also help you stay productive and professionally competitive. Being proactive about sharing updates and seeking feedback ensures you’re aligned with project goals and fosters strong team collaboration even from a distance.

What are the most commonly searched types of Front End Developer jobs in Edmonton, AB?

The most popular types of Front End Developer jobs in Edmonton, AB are:

What are popular job titles related to Remote Front End Developer jobs in Edmonton, AB?

For Remote Front End Developer jobs in Edmonton, AB, the most frequently searched job titles are:

What job categories do people searching Remote Front End Developer jobs in Edmonton, AB look for?

The top searched job categories for Remote Front End Developer jobs in Edmonton, AB are:

Infographic showing various Remote Front End Developer job openings in Edmonton, AB as of August 2026, with employment types broken down into 79% Full Time, 16% Part Time, 1% Temporary, and 4% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $116,109 per year, or $55.8 per hour.

Full Stack Software Engineer - Remote

Edmonton, AB • Remote

$80 - $120/hr

Full-time

Posted 15 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.