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.

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