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Remote Compensation Jobs in Ontario (NOW HIRING)

YO AI Labs

AI Trainer - Remote

Ottawa, ON · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Compensation Compensation is output-based , with payment provided per task that meets project ...

YO AI Labs

Backend Developer - Remote

Ottawa, ON · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Compensation Compensation is output-based , with payment provided per task that meets project ...

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Remote Compensation information

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$13

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How much do remote compensation jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote compensation in Ontario is $40.69, according to ZipRecruiter salary data. Most workers in this role earn between $31.97 and $47.84 per hour, depending on experience, location, and employer.

What is a remote compensation?

A Remote Compensation job involves managing and developing salary structures, benefits, and pay strategies for remote employees. Professionals in this role analyze market trends, ensure compliance with labor laws, and design equitable compensation plans. They also collaborate with HR and finance teams to align pay practices with company goals while considering location-based pay differences.

What does a remote compensation do?

A Remote Compensation professional typically analyzes market salary data, evaluates job roles, and develops competitive compensation structures in alignment with company policy and legal requirements. Daily tasks may include benchmarking salaries, preparing compensation reports, collaborating with HR teams on job offers, and updating compensation databases. They often work cross-functionally with recruiters, hiring managers, and benefits specialists, usually through virtual meetings and digital platforms. The role requires strong analytical skills and effective remote communication to ensure pay practices remain equitable and consistent across the organization.

What are the key skills and qualifications needed to thrive in remote compensation, and why are they important?

To thrive in a Remote Compensation role, you need a strong background in human resources, compensation analysis, and data interpretation, typically supported by a degree in HR, business, or a related field. Familiarity with HRIS systems, compensation benchmarking software, and, in some cases, certification such as CCP (Certified Compensation Professional) is highly valuable. Excellent communication, attention to detail, and the ability to work independently are critical soft skills for remote collaboration and accurate data management. These skills ensure fair, competitive, and compliant compensation programs that support organizational goals in a remote work environment.

What are the most commonly searched types of Compensation jobs in Ontario?

The most popular types of Compensation jobs in Ontario are:

What are popular job titles related to Remote Compensation jobs in Ontario?

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

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

The top searched job categories for Remote Compensation jobs in Ontario are:

Remote Compensation jobs near you
Infographic showing various Remote Compensation job openings in Ontario as of August 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 100% Remote job distribution, with an average salary of $84,628 per year, or $40.7 per hour.

AI Trainer - Remote

YO AI Labs

Ottawa, ON • Remote

$80 - $120/hr

Full-time

Posted 7 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.