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Ai Coder Jobs in Ontario (NOW HIRING)

YO AI Labs

AI Trainer - Remote

Ottawa, ON · Remote

$80 - $120/hr

No prior AI experience is required. Key Responsibilities * Create reinforcement learning ... Ensure tasks accurately measure coding ability, problem-solving, and tool usage. * Document ...

YO AI Labs

AI/ML Engineer - Remote

Toronto, ON · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... Follow modern secure coding, DevOps, and CI/CD practices. * Document technical decisions and ...

Nasdaq

AI Engineer Specialist

Toronto, ON · Hybrid

CA$96K - CA$132K/yr

AI Engineer Specialist As an AI Engineer Specialist reporting to the Sr. Director of Software ... Use Terraform and infrastructure-as-code to provision and manage resources the enterprise way ...

YO AI Labs

AI/ML Engineer - Remote

Ottawa, ON · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... Follow modern secure coding, DevOps, and CI/CD practices. * Document technical decisions and ...

YO AI Labs

AI Software Engineer - Remote

Ottawa, ON · Remote

$80 - $120/hr

No prior AI experience is required. Key Responsibilities * Create reinforcement learning ... Ensure tasks accurately measure coding ability, problem-solving, and tool usage. * Document ...

YO AI Labs

AI Technical Trainer - Remote

Toronto, ON · Remote

$80 - $120/hr

No prior AI experience is required. Key Responsibilities * Create reinforcement learning ... Ensure tasks accurately measure coding ability, problem-solving, and tool usage. * Document ...

YO AI Labs

AI Software Engineer - Remote

Toronto, ON · Remote

$80 - $120/hr

No prior AI experience is required. Key Responsibilities * Create reinforcement learning ... Ensure tasks accurately measure coding ability, problem-solving, and tool usage. * Document ...

YO AI Labs

AI Technical Trainer - Remote

Ottawa, ON · Remote

$80 - $120/hr

No prior AI experience is required. Key Responsibilities * Create reinforcement learning ... Ensure tasks accurately measure coding ability, problem-solving, and tool usage. * Document ...

YO AI Labs

AI/ML Software Engineer - Remote

Ottawa, ON · Remote

$80 - $120/hr

No prior AI experience is required. Key Responsibilities * Create reinforcement learning ... Ensure tasks accurately measure coding ability, problem-solving, and tool usage. * Document ...

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Ai Coder information

What is an AI coder?

AI Coders are professionals who develop, implement, and maintain artificial intelligence (AI) systems and applications. They use programming languages such as Python, Java, and R to write code that enables machines to perform tasks that typically require human intelligence, such as learning, reasoning, and problem-solving. AI Coders often work with machine learning models, neural networks, and large datasets to create intelligent solutions for various industries. Their work can range from building chatbots and recommendation systems to designing complex algorithms for automation.

What types of projects do AI coders typically work on, and how does project collaboration usually happen?

AI Coders are often involved in developing machine learning models, creating data pipelines, and integrating AI solutions into existing products. Collaboration is a key part of the role, with AI Coders working closely with data scientists, software engineers, and product managers to translate business needs into technical solutions. Most teams use agile methodologies, daily stand-ups, and collaborative platforms like GitHub or Jira to coordinate tasks and track progress. This structure ensures that AI Coders receive frequent feedback and can contribute ideas throughout the development cycle.

What are the key skills and qualifications needed to thrive as an AI coder, and why are they important?

To thrive as an AI Coder, you need strong programming skills (especially in Python), a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, as well as experience with version control systems such as Git, is essential. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate with teams and explain complex solutions. These skills and qualities are crucial for developing, optimizing, and maintaining reliable AI models that address real-world challenges.

What is the difference between Ai Coder vs Data Scientist?

AspectAi CoderData Scientist
Required CredentialsProgramming skills, knowledge of AI frameworks, certifications in AI/MLStatistics, programming, data analysis certifications
Work EnvironmentSoftware development teams, AI research labsData analysis teams, research environments
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and algorithms, Ai Coders primarily focus on developing AI models and coding AI solutions, whereas Data Scientists analyze data to extract insights and inform business decisions. Ai Coders are more involved in software development, while Data Scientists emphasize statistical analysis and data interpretation.

How do you become an AI coder?

To become an AI coder, you typically need a strong foundation in programming languages such as Python or Java, along with knowledge of machine learning frameworks like TensorFlow or PyTorch. Earning a degree in computer science, data science, or a related field and gaining experience through projects or internships are common steps. Developing skills in algorithms, data structures, and mathematics is also essential for working effectively in AI development.

How much do AI coders make?

AI coders, also known as artificial intelligence programmers, typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can earn higher salaries, especially in tech hubs or large companies.

What are popular job titles related to Ai Coder jobs in Ontario?

For Ai Coder jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Ai Coder jobs in Ontario look for?

The top searched job categories for Ai Coder jobs in Ontario are:

What cities in Ontario are hiring for Ai Coder jobs?

Cities in Ontario with the most Ai Coder job openings:

Ai Coder jobs near you
Infographic showing various Ai Coder job openings in Ontario as of August 2026, with employment types broken down into 71% Full Time, 25% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

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.