Rex.zone is hiring Vancouver-based professionals for fully remote data annotation and evaluation work supporting AI/ML training workflows. You will help improve training data quality and model performance across NLP, computer vision, and content safety programs.
What You’ll Do
- Create accurate labels for NLP tasks such as named entity recognition, classification, summarization review, and intent tagging
- Perform RLHF ranking and pairwise preference judgments using clear rubrics
- Run prompt evaluation on LLM outputs for helpfulness/harmlessness and flag issues (hallucinations, policy violations, unsafe content)
- Execute QA evaluation to audit annotation guideline compliance, reduce disagreement, and document edge cases
- Annotate computer vision data (bounding boxes, polygons, segmentation masks, keypoints) where applicable
- Track throughput/quality metrics and contribute to guideline improvements
Required Qualifications
- Experience in data annotation, data labeling, QA/evaluation, or trust & safety operations
- Solid written English, careful reasoning, and consistent rubric application
- Comfort with remote, asynchronous workflows and web-based labeling tools
- High attention to detail and ability to meet full-time productivity and quality targets
Compensation
Hourly base pay range: $30–$50/hr (USD), depending on project complexity and demonstrated quality outcomes.
Benefits and scheduling vary by project and may include flexible shifts, ongoing calibration, and paid QA time.
How To Apply
Apply on Rex.zone with your availability and relevant labeling/evaluation experience. You may be asked to complete a screening covering guideline compliance, QA scenarios, and sample RLHF or prompt evaluation tasks.
📌 Remote Data Annotator (Vancouver)
🏢 Rex.zone
📍 Vancouver
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