AI Technical Trainer - Remote
- Employment type
- Contract · On-site
- Posted
- September 26, 2026
- Salary range
- $166,400–$249,600 CAD per year
- Province
- Alberta (AB)
Hiring confidence: Some gaps · 56/100
Some signals are missing from this posting. It may well be genuine, but it is worth confirming the role is still open before you invest time in applying. How this is scored
Job Overview
This role is based in Alberta. YO AI Labs is hiring for this contract position through Jobily, where you can check how well your resume matches the posting before you apply.
Market context
About this role in Alberta
Average salary for AI Technical Trainer - Remote in Alberta
We do not have a salary benchmark for this title in Alberta yet. The posting advertises $166,400–$249,600.
NOC code
This posting has not been matched to a NOC 2021 unit group yet. Use the NOC finder to identify the code from the duties listed above.
Typical qualifications for Canadian employers
- Senior-level software engineering experience
- Experience with reinforcement learning or AI training
- Knowledge of Model Context Protocol (MCP) tools
- Ability to work remotely
- Available for ~15 hours/week contractor work
Fit check
Is this role right for you?
Top skills this posting asks for:
- Reinforcement Learning
- Software Engineering
- Model Context Protocol (MCP)
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What you'll do
- Create reinforcement learning environments for AI model evaluation
- Design environments for complex software engineering tasks
- Build tools using Model Context Protocol (MCP)
- Develop reference solutions for training tasks
- Implement bug fixing scenarios
- Implement feature implementation scenarios
- Ensure reproducibility of environments
- Verify deterministic outputs
- Support AI training projects
What you'll need
- Senior-level software engineering experience
- Experience with reinforcement learning or AI training
- Knowledge of Model Context Protocol (MCP) tools
- Ability to work remotely
- Available for ~15 hours/week contractor work
- Experience creating reproducible environments
- Understanding of deterministic verification