STEM Canada — Remote Engineer

STEM Jobs in Canada (Remote, Full-Time) — Engineering Roles on Rex.zone

Rex.zone connects engineers and technical professionals to remote, full-time roles supporting real-world AI/ML training workflows, including RLHF evaluation, data labeling, QA evaluation, prompt evaluation, named entity recognition, computer vision annotation, and content safety labeling.

• Create, validate, and improve training datasets used in LLM training pipelines
• Run RLHF‑style preference judgments and structured LLM evaluations
• Perform QA evaluation and prompt evaluation; diagnose failure modes and improve model performance
• Support NLP tasks (e.g., named entity recognition) and CV tasks (e.g., bounding boxes/segmentation) as needed
• Apply content safety labeling and sensitive‑content handling procedures

• Follow detailed labeling/evaluation specs and document edge cases
• Review/adjudicate annotations, run spot checks, and track quality metrics
• Collaborate with engineering/research stakeholders to align evaluation rubrics with product goals
• Iterate on prompts, test sets, and guideline clarity to maintain reliable, auditable pipelines

• Mid‑Senior experience in an engineering, STEM, or technical role
• Strong analytical reasoning, attention to detail, and guideline adherence
• Comfort with structured data, taxonomies, and evaluation rubrics
• Familiarity with NLP/ML concepts and data quality practices; ability to use Python for dataset review

• Experience with RLHF evaluation, data labeling, QA evaluation, prompt evaluation, NER, CV annotation, or content safety labeling
• Exposure to gold sets, inter‑annotator agreement, error analysis, dataset versioning, and evaluation‑driven iteration

Create or update your Rex.zone profile, highlight relevant STEM experience, and apply with a short summary of your domain strengths (NLP, CV, content safety, or evaluation).