AI Jobs in Canada (Remote, Full-Time) — Open RoleRex.zone supports distributed AI/ML data operations that improve large language model evaluation and training data quality. This role focuses on production-grade workflows such as RLHF, data labeling, prompt evaluation, QA evaluation, and content safety labeling across NLP and (optionally) computer vision.What You Will DoExecute RLHF evaluation, preference ranking, and rubric-based rationales Perform prompt evaluation and response grading (helpfulness/harmlessness/honesty) Complete data labeling tasks including named entity recognition and text classification Run QA evaluation via audits, spot checks, and inter-annotator agreement workflows Apply content safety labeling policies and maintain annotation guidelines compliance Document edge cases and surface systematic failure modes impacting LLM training pipelines Required QualificationsMid-Senior experience in AI data operations or applied ML support Strong written reasoning and comfort with rubric-based evaluation Familiarity with RLHF concepts and large language model evaluation Experience with labeling taxonomies (classification, NER, evaluation tasks) Comfort using web-based annotation tools, task queues, and spreadsheets How To ApplyApply via Rex.zone and include a brief summary of your RLHF evaluation, data labeling, prompt evaluation, or QA evaluation experience, plus any examples of improving training data quality or clarifying annotation guidelines. #J-18808-Ljbffr