Most In Demand STEM Jobs Canada (Remote)

About the role

Rex.zone is recruiting for high-demand STEM roles aligned to AI/ML training workflows and applied engineering. These are remote, full-time opportunities supporting large language model evaluation, RLHF-adjacent feedback loops, data labeling, QA evaluation, prompt evaluation, and training data quality across NLP, computer vision, and content safety.

Responsibilities

• Produce and/or validate high-quality labels, judgments, and evaluations for AI systems
• Follow and improve annotation guidelines compliance; document edge cases and rubric updates
• Run QA sampling, adjudication workflows, and inter-annotator agreement calibration
• Perform error analysis and structured evaluation to drive model performance improvement
• Support LLM training pipelines with prompt evaluation and safety/reliability assessments

Focus Areas

Example focus areas (role-dependent):

• NLP: named entity recognition, text classification, intent labeling
• Computer vision: bounding boxes, segmentation, dataset QA
• Content safety: labeling and policy-aligned evaluation
• Data/ML engineering: data pipelines, evaluation harnesses, monitoring and drift checks