Remote Data Labeling Jobs Copenhagen

Overview

Rex.zone connects candidates to remote AI data operations teams building training and evaluation datasets for modern AI/ML systems. This role focuses on high-quality annotation and evaluation work that improves large language model evaluation outcomes and model performance.

What You Will Do

• Produce accurate labels at scale across NLP and computer vision tasks
• Maintain annotation guidelines compliance and document edge-case decisions
• Complete RLHF comparisons and preference ranking using rubrics
• Perform QA evaluation using checklists, sampling, and gold-set reviews
• Identify ambiguity, report issues, and propose guideline updates
• Support content safety labeling and confidentiality requirements in a remote setting
  
  

Common Task Types

• Prompt evaluation and instruction-following checks for chat models
• Named entity recognition, sentiment/intent classification, and policy labeling
• Computer vision annotation (bounding boxes, polygons, keypoints) and OCR verification
• Dataset refresh cycles, adjudication support, and error tracking/rework
  
  

Required Qualifications

• Mid-senior experience in data labeling, data annotation, QA, or evaluation workflows
• Strong reading comprehension and consistent written reasoning for rubric-based scoring
• Familiarity with NLP tasks and/or computer vision annotation
• Ability to apply content safety policies consistently
  
  

Preferred Qualifications

• Experience with RLHF pipelines, prompt evaluation, and LLM evaluation frameworks
• Exposure to inter-annotator agreement, calibration, and adjudication workflows
• Comfort working across multiple domains and task types
  
  

Workplace

This is a Remote role. “Copenhagen” reflects search intent and location-based discovery; work is performed remotely with distributed teams.

Compensation

Hourly base pay range: $30–$50/hr (varies by project and scope).