Remote Data Annotator (Vancouver)

Remote Data Annotator Jobs in Vancouver 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 Strong 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.

The role involves creating accurate labels for NLP and computer vision tasks to improve AI/ML model performance. Responsibilities include performing RLHF ranking, prompt evaluation for LLMs, and auditing annotation guideline compliance.

Candidates need experience in data annotation, QA, or trust and safety operations with strong written English. High attention to detail and the ability to meet full-time productivity targets in a remote environment are required.

• Flexible Shifts • Ongoing Calibration • Paid Qa Time

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Data Annotation
• Data Labeling
• Qa Evaluation
• Trust & Safety Operations
• Nlp
• Computer Vision
• Rlhf
• Prompt Evaluation
• Named Entity Recognition
• Classification
• Summarization Review
• Intent Tagging
• Bounding Boxes
• Polygons
• Segmentation Masks
• Keypoints

• Data & Analytics
• Technology
• Software
• Science & Research
• Security & Safety

Expérience minimale

2+ ans

Postuler avant le

29 août 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Exigences de lieu

Country, Vancouver, British Columbia, Canada

Niveau d’expérience

Mid-Senior level