Remote Data Annotator Jobs in Paris

Rex.zone connects you with remote data annotator roles focused on producing high-quality training data and evaluation signals for AI/ML systems. You will support LLM training pipelines and computer vision workflows through data labeling, RLHF preference ranking, prompt-response evaluation, and QA evaluation to improve model performance and reliability.

What You Will Do

• Create accurate labels for NLP tasks such as text classification and named entity recognition
• Perform RLHF comparisons, rubric-based scoring, and write clear rationales
• Complete prompt evaluation for helpfulness, instruction-following, and safety
• Apply content safety labeling aligned to policy categories
• Run QA evaluation audits using checklists, sampling plans, and calibration sessions
• Document edge cases and escalate guideline gaps to reduce annotator disagreement
  
  

AI/ML Workflows You Will Support

• Dataset curation, labeling, and QC for training data quality
• Offline evaluation sets for regression testing and model monitoring
• LLM evaluation loops using preference data and structured rubrics
• Computer vision annotation (e.g., bounding boxes, polygons, segmentation) where applicable
  
  

Required Qualifications

• Experience in data annotation/data labeling or related AI operations work
• Strong attention to detail and ability to follow complex guidelines consistently
• Comfort working remotely with clear written communication
• Familiarity with rubrics, error taxonomies, and inter-annotator agreement concepts
  
  

Pay

Competitive hourly rate: $30–$50/hour (based on project and experience).

Role type may vary by project; see posting details on Rex.zone.