Remote STEM Jobs in Canada

Remote STEM Jobs in Canada (Full Time) Rex.zone connects mid-senior engineers and STEM professionals to real-world AI/ML training workflows, including LLM evaluation, RLHF-style preference ranking, data labeling, QA evaluation, and prompt evaluation. You will help improve model performance by producing and reviewing high-quality training data and enforcing annotation guidelines compliance. What You Will Do Contribute to training data quality through labeling, review, and adjudication Perform RLHF-style preference ranking and helpfulness/harmlessness evaluations Execute prompt evaluation and response grading for large language model evaluation Apply annotation guidelines, document edge cases, and support rubric adherence Run QA evaluation workflows, track defects, and recommend process improvements Support NLP tasks (e.g., named entity recognition, taxonomy tagging) Support computer vision annotation (e.g., bounding boxes, polygons, classification) Support content safety labeling (policy categories, risk scoring, refusals) Collaborate with teams across AI labs, tech startups, annotation vendors, and BPO operations Required Qualifications Mid-senior experience in STEM or engineering Strong analytical writing and attention to detail for evaluation rubrics Familiarity with AI/ML concepts, LLM behavior, and model failure modes Experience with data labeling, QA evaluation, or guideline-driven review Ability to work full-time remotely with reliable internet and secure work practices Preferred Qualifications Exposure to RLHF, prompt evaluation, and rubric-based grading Experience with NLP and/or computer vision annotation Experience with content safety labeling and policy enforcement Comfort using annotation platforms, spreadsheets, and issue trackers Ability to mentor peers on annotation guidelines compliance and training data quality How To Apply Apply via Rex.zone and highlight your STEM/engineering background, guideline-driven work, and examples that improved training data quality or model performance.