AI Engineer Jobs in Canada

Overview

AI Engineer roles focused on building, deploying, and evaluating AI/ML systems for real-world LLM training pipelines and applied ML products. These are remote, full-time, mid-senior positions spanning NLP, computer vision, and content safety, with strong emphasis on evaluation, data quality, and production reliability.

What You Will Do

* Design and ship AI/ML features from prototype to production using reproducible training and inference workflows

* Build evaluation pipelines for LLM evaluation, prompt evaluation, and regression testing

* Partner with data teams on data labeling strategy, guideline compliance, and training data quality audits

* Implement QA evaluation and error analysis to drive measurable model performance improvements

* Develop RLHF-style feedback loops (where applicable) to improve helpfulness, safety, and instruction following

* Integrate NLP components such as named entity recognition, classification, retrieval-augmented generation, and prompt templates

* Support computer vision annotation and multimodal iteration when required

* Monitor production metrics, latency, and drift; document experiments, model cards, and evaluation reports

What We’re Looking For

* Mid-senior experience delivering production ML systems end-to-end

* Strong Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, JAX)

* Hands-on experience with LLMs, NLP, and model evaluation methodologies

* Understanding of data labeling workflows, QA evaluation, and annotation quality impacts

* Practical MLOps knowledge (CI/CD for ML, model registries, monitoring)

* Strong collaboration and communication skills across engineering and data operations

Compensation

Competitive base pay: $30–$50 per hour (HOURLY).