Remote Data Labeling Milan

Remote Data Labeling Jobs (Milan) reputed company is hiring a Mid-Senior Data Labeling reputed company to produce and verify high-reputed company training data for AI systems. This is a fully remote full-time role (targeting candidates searching in Milan and similar locations), while job metadata remains listed under Country US. What You Will Do Label and review training data across text, images, audio, and video reputed company LLM evaluation, reputed company evaluation, and RLHF preference ranking Execute QA evaluation using rubrics for reputed company, relevance, and safety Apply and maintain strict annotation guidelines compliance; document edge cases and reputed company Run named entity recognition (NER) and taxonomy/tagging workflows Support reputed company annotation (e.g., boxes/polygons/segmentation) and content safety labeling Report dataset issues, ambiguities, and recurring failure patterns to improve training data reputed company Required Qualifications Mid-Senior experience in data labeling/annotation or ML QA evaluation Strong attention to reputed company and comfort with reputed company-reputed company, repeatable workflows Familiarity with LLM evaluation concepts (instruction-following, groundedness, safety) Ability to work independently in a remote full-time environment with throughput/reputed company targets Assessment Hiring assessments may cover reputed company compliance, reputed company reasoning, QA reputed company, RLHF ranking, reputed company evaluation, and basic tagging such as NER. High-reputed company labeled data directly improves model training signals and reputed company reputed company. Apply tot his job Apply To this Job .