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Remote Rf Communications Engineer Jobs in Toronto, ON

Backend Engineer - Remote

Toronto, ON ยท Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Excellent written and verbal communication. * Strong attention to detail. Preferred Qualifications

New

Software Engineer Job Type: Contract Location: Remote Job Summary: We are looking for experienced ... Communicate technical reasoning clearly in writing, including why a solution works and what ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Excellent written and verbal communication. * Strong attention to detail. Preferred Qualifications

New

AI Software Engineer - Remote

Toronto, ON ยท Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Excellent written and verbal communication. * Strong attention to detail. Preferred Qualifications

New

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Excellent written and verbal communication. * Strong attention to detail. Preferred Qualifications

New

AI/ML Engineer - Remote

Toronto, ON ยท Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Document technical decisions and communicate complex concepts effectively to technical and non ...

New

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Excellent written and verbal communication. * Strong attention to detail. Preferred Qualifications

New

Remote within Canada Build the Future of Global Payments Veem is transforming how businesses move ... Excellent communication skills and the ability to explain technical trade-offs to executive and non ...

Backend Developer - Remote

Toronto, ON ยท Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Excellent written and verbal communication. * Strong attention to detail. Preferred Qualifications

New

Frontend Developer - Remote

Toronto, ON ยท Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Excellent written and verbal communication. * Strong attention to detail. Preferred Qualifications

New

As a remote-first organization, we are building a modern, high-performing team focused on ... Estimate work, communicate progress, and proactively identify risks and dependencies * Support ...

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Showing results 1-20

Remote Rf Communications Engineer information

What is a remote RF communications engineer?

Remote RF Communications Engineers are professionals who design, implement, and maintain radio frequency (RF) communication systems while working from a remote location. They are responsible for optimizing wireless signals, troubleshooting connectivity issues, and ensuring that communication networks meet performance standards. These engineers often collaborate with teams virtually to analyze data, configure equipment, and support the deployment of wireless infrastructure for applications such as cellular networks, satellite communications, and IoT devices. Their work is critical for enabling reliable wireless communication in various industries.

What are the key skills and qualifications needed to thrive as a remote RF communications engineer?

A Remote RF Communications Engineer requires solid knowledge of radio frequency theory, wireless communication systems, and typically a degree in electrical or electronics engineering. Familiarity with simulation tools like MATLAB, RF test equipment, and certifications such as FCC licensure or Cisco CCNA Wireless are often necessary. Strong analytical thinking, problem-solving abilities, and effective remote collaboration skills help set top performers apart. These competencies ensure reliable design, troubleshooting, and optimization of complex wireless networks from remote locations.

What are some common challenges faced by remote RF communications engineers and how can they be addressed?

Remote RF Communications Engineers often encounter challenges such as diagnosing signal interference issues without on-site access, coordinating with geographically dispersed teams, and ensuring reliable communication links across varied environments. To address these challenges, engineers rely heavily on remote monitoring tools, clear documentation, and regular virtual meetings with cross-functional teams. Building strong communication skills and staying updated with the latest diagnostic software can greatly enhance effectiveness in a remote setting.

What is the difference between Remote Rf Communications Engineer vs Remote Wireless Network Engineer?

AspectRemote Rf Communications EngineerRemote Wireless Network Engineer
CertificationsFCC, Cisco, CompTIA certificationsCCNA, CWNA, Cisco certifications
Work EnvironmentDesigning, testing, and troubleshooting RF systemsPlanning, deploying, and maintaining wireless networks
Industry UsageTelecommunications, defense, aerospaceIT, enterprise networks, service providers

Both roles involve wireless communication technologies and require similar certifications. However, Remote Rf Communications Engineers focus more on RF system design and testing, while Remote Wireless Network Engineers concentrate on deploying and managing wireless network infrastructure. Understanding these distinctions helps job seekers identify the best fit for their skills and career goals.

Infographic showing various Remote Rf Communications Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

Backend Engineer - Remote

YO AI Labs

Toronto, ON โ€ข Remote

$80 - $120/hr

Full-time

Posted 2 days ago

New


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.