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Senior Data Annotator Jobs in Rome (Remote)

Rex.zoneApplies on LinkedInData & Analytics
Hiring from
Italy
Work type
Remote
Posted
Jul 31, 2026
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Rex.zone is hiring a Mid-Senior Senior Data Annotator to deliver high-accuracy training data and evaluations for AI/ML systems, including large language models and computer vision models. This is a FULL_TIME, Remote role focused on training data quality, guideline compliance, and scalable labeling operations.

What You Will Work On

  • RLHF preference ranking and pairwise comparisons to support LLM training pipelines
  • Prompt evaluation (helpfulness, factuality, instruction-following, harmlessness) using rubric-based scoring
  • QA evaluation via audits, sampling, error analysis, and adjudication to reduce defect rates
  • Content safety labeling across policy categories and moderation taxonomies
  • NLP annotation such as named entity recognition (NER) and taxonomy-driven text classification
  • Computer vision annotation as needed (bounding boxes, segmentation masks, attribute tagging)

Key Responsibilities

  • Own high-complexity annotation queues and deliver consistent, auditable labels
  • Lead guideline clarifications, document edge cases, and propose rubric improvements to reduce ambiguity
  • Track throughput and quality metrics (accuracy, agreement rate, rework rate) and recommend process improvements
  • Collaborate with QA and data operations teams through calibration sessions and review cadences

Required Qualifications

  • Mid-senior experience in data annotation/data labeling operations with strong QA evaluation rigor
  • Demonstrated annotation guidelines compliance and controlled labeling workflows
  • Familiarity with RLHF evaluation concepts and prompt evaluation methods
  • Experience with NLP tasks (NER, classification) and comfort with computer vision annotation or willingness to learn
  • Strong written communication for decision rationale and edge-case documentation

How To Apply

Apply via Rex.zone with a brief summary of your annotation background (NLP, computer vision, content safety), QA evaluation experience, and any guideline/rubric improvements you have led.

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