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AI Prompt Engineer Jobs in Canada

00, CanadaRemoteFull TimePosted today

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About The Role
AI prompt engineers design, test, and evaluate prompts that steer LLMs toward accurate, safe, and useful outputs across production workflows. You will collaborate with engineering and AI/ML data operations to improve model behavior through prompt iteration, evaluation, and RLHF-adjacent feedback.
What You Will Do

  • Design system prompts, user prompts, and tool instructions for LLM-powered products (chat, search, summarization, extraction, coding assistants).
  • Run prompt evaluation and QA evaluation using rubrics to measure correctness, groundedness, safety, and style adherence.
  • Create and maintain datasets for prompt testing, including data labeling and preference data aligned to RLHF objectives.
  • Analyze failures (hallucinations, instruction gaps, unsafe content) and propose prompt, policy, or data fixes.
  • Write and enforce annotation guidelines; ensure training data quality and compliance.
  • Support LLM training pipelines, regression testing, and model performance improvement.
  • Contribute to content safety labeling, refusal behavior testing, and jailbreak/misuse resistance.
  • Document prompt libraries, evaluation sets, and decision logs for reproducible experiments.

Required Qualifications

  • Mid-Senior experience building or optimizing prompts for LLM applications in production or rigorous evaluation settings.
  • Strong writing and reasoning skills to translate product intent into precise instructions and constraints.
  • Hands-on experience with rubric-based prompt evaluation and QA evaluation.
  • Understanding of RLHF concepts (preference data, calibration, helpfulness/harmlessness tradeoffs).
  • Ability to define measurable criteria for quality and safety under ambiguity.

Preferred Qualifications

  • Experience with NLP tasks (summarization, classification, NER, extraction) and RAG evaluation.
  • Familiarity with content safety labeling, policy writing, and red-teaming.
  • Experience building evaluation datasets and running QA programs.
  • Basic scripting/analytics (spreadsheets, SQL, Python) for tracking and error analysis.

Compensation
Hourly rate: $30–$50/hr (BASE\_SALARY).
Remote-ready roles across Canada time zones.

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