Remote Data Labeling Jobs 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