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Senior Software Developer Ai Trainer Jobs in Edmonton, AB

AI Trainer - Remote

Edmonton, AB · Remote

$80 - $120/hr

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Our team spans AI researchers and roboticists to factory operators, technicians, and production teams - all building the future of homebuilding together. We're looking for an Software Developer to ...

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Senior Software Developer Ai Trainer information

What does a senior software developer AI trainer do?

A Senior Software Developer AI Trainer is responsible for designing, developing, and refining AI models by providing expert-level training data and feedback. They combine their software development expertise with knowledge of machine learning to help improve the performance, accuracy, and reliability of AI systems. This role often involves collaborating with data scientists, annotating or generating training data, evaluating AI outputs, and ensuring models align with user and business needs. Senior AI trainers also mentor junior team members and contribute to best practices in AI model development and deployment.

How does a senior software developer AI trainer typically collaborate with data scientists and product teams?

As a Senior Software Developer AI Trainer, you will regularly work alongside data scientists to design, implement, and refine machine learning models. Collaboration often involves interpreting data requirements, integrating model outputs into applications, and ensuring the scalability and reliability of AI solutions. You’ll also interact with product teams to align AI features with user needs and business goals, often participating in cross-functional meetings to clarify technical constraints and prioritize development tasks. This collaborative environment encourages continuous learning and fosters innovation, making strong communication and teamwork skills essential.

What are the key skills and qualifications needed to thrive as a senior software developer AI trainer, and why are they important?

To thrive as a Senior Software Developer AI Trainer, you need advanced programming skills (such as Python), deep understanding of AI/ML concepts, and experience in software development, often supported by a relevant degree and industry certifications. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), version control systems, and cloud computing platforms is typically required. Outstanding communication, mentoring abilities, and problem-solving skills help in effectively guiding junior developers and collaborating across teams. These skills are crucial for driving innovation, ensuring model quality, and fostering talent development within AI-focused projects.

What is the difference between Senior Software Developer Ai Trainer vs Data Scientist?

AspectSenior Software Developer Ai TrainerData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; experience with data analysis
Work EnvironmentTech companies, AI startups, R&D labsResearch institutions, tech firms, finance, healthcare
Employer & Industry UsageDevelops AI models, trains AI systems, collaborates with data teamsAnalyzes data, builds predictive models, interprets complex datasets

While both roles require a strong technical background and experience with machine learning, the Senior Software Developer Ai Trainer focuses on developing and training AI models, often working closely with engineering teams. In contrast, Data Scientists analyze data to extract insights and build models, with a broader focus on data analysis and interpretation. Both roles are vital in AI-driven industries but serve different functions within the AI development lifecycle.

What are the most commonly searched types of Software Developer Ai Trainer jobs in Edmonton, AB?

The most popular types of Software Developer Ai Trainer jobs in Edmonton, AB are:

What job categories do people searching Senior Software Developer Ai Trainer jobs in Edmonton, AB look for?

The top searched job categories for Senior Software Developer Ai Trainer jobs in Edmonton, AB are:

Infographic showing various Senior Software Developer Ai Trainer job openings in Edmonton, AB as of June 2026, with employment types broken down into 76% Full Time, 22% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

AI Trainer - Remote

YO AI Labs

Edmonton, AB • Remote

$80 - $120/hr

Full-time

Posted 11 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.