About The Role
AI Trainer jobs in Canada focus on improving large language models through RLHF-style evaluations, prompt evaluation, data labeling, and QA evaluation across real AI/ML training pipelines. You will follow detailed annotation guidelines, verify training data quality, and provide structured feedback that improves helpfulness, correctness, and safety.

What You’ll Do

Perform RLHF evaluations (pairwise ranking, rubric-based scoring) and write clear rationales

Execute prompt evaluation for instruction-following, factuality, and safety

Label and validate datasets for NLP and content safety labeling

Run QA evaluation checks (consistency, agreement, systematic error discovery)

Document edge cases and build error taxonomies to drive model performance improvement

Collaborate on rubrics, gold sets, calibration, and regression testing for model updates





Skills And Qualifications

Experience with structured evaluation and guideline-driven judgment

Solid writing and documentation for rationales and edge-case notes

Familiarity with RLHF, LLM evaluation, and prompt evaluation workflows

Comfort with data labeling, QA evaluation, and training data quality processes

Bonus: multilingual evaluation, NER/classification tasks, or multimodal evaluation

How To Apply
Browse roles on Rex.zone and apply with a resume highlighting RLHF, data labeling, QA evaluation, annotation guidelines compliance, and examples of model evaluation feedback.

Hourly base pay range: $30–$50.

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📌 AI Trainer Jobs in Canada (Alberta)
🏢 Rex.zone
📍 Alberta