Demand STEM Canada; Remote

Overview

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.

• 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

• 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

Apply on Rex.zone and confirm eligibility during the application process. Align your resume to skills like QA evaluation, data labeling, prompt evaluation, and training data quality.