AI Response Labeler – Italian Specialty
Posted 14hrs ago
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Job Description
AI response annotator comparing and evaluating AI-generated content in English and Italian. Applying Italian cultural expertise and structured quality guidelines for Blueprint’s technology solutions.
Responsibilities:
- Perform side-by-side comparisons of AI-generated responses and determine which response is stronger
- Evaluate responses for factual accuracy, relevance, completeness, clarity, reasoning, instruction-following, tone, and overall quality
- Assess content written in English, Italian, or a combination of both
- Evaluate general-purpose questions and answers, web-search results, file-based tasks, image-based responses, content-generation requests, and single-turn and multi-turn conversations
- Apply Italian expertise to language, terminology, tone, regional conventions, idioms, and cultural context specific to Italy
- Evaluate complete response quality rather than only grammar, translation, or fluency
- Identify unsupported claims, incomplete reasoning, missed instructions, unnatural phrasing, cultural inaccuracies, and differences in usefulness
- Apply detailed, scenario-specific annotation guidelines accurately and consistently
- Make independent evaluation decisions for ambiguous cases
- Document decisions and provide concise, evidence-based rationale when required
- Complete evaluations within time and productivity expectations
- Maintain consistent judgment across a high volume of varied assignments
- Participate in training, guided practice, calibration sessions, qualification reviews, and ongoing quality-review activities
- Incorporate feedback and adjust evaluation decisions to team and client quality standards
- Complete a minimum of 25 tasks per day, with most tasks taking approximately 15 minutes
Requirements:
- Native-level or professional fluency in Italian
- Deep familiarity with Italian linguistic conventions, regional vocabulary, idioms, tone, and cultural context specific to Italy
- Strong English fluency and reading comprehension
- Strong general analytical and critical-thinking skills
- Ability to evaluate content across varied topics, formats, and task types
- Ability to assess factuality, relevance, reasoning, clarity, instruction-following, cultural appropriateness, and overall usefulness
- Ability to recognize subtle differences in meaning, quality, tone, and user intent
- Sound judgment when applying structured evaluation criteria to ambiguous or unfamiliar scenarios
- Strong written communication skills
- Excellent attention to detail and ability to maintain accuracy within established time expectations
- Ability to learn and consistently apply detailed evaluation frameworks
- Ability to work independently while aligned with shared quality standards
- Comfort performing repetitive, detail-oriented work for extended periods
- Ability to receive feedback, recalibrate decisions, and adapt as evaluation guidelines evolve
- Preferred: experience with side-by-side labeling, annotation, comparative content evaluation, or quality assessment
- Preferred: experience evaluating AI-generated responses or contributing to model-quality assessment
- Preferred: experience with data labeling or annotation
- Preferred: experience evaluating search relevance, content quality, factual accuracy, or user-facing digital experiences
- Preferred: experience working with detailed guidelines, rubrics, or structured decision-making frameworks
- Must successfully complete structured onboarding and qualification before production work
- Must work from 9:00 a.m. to 5:00 p.m. Pacific Time during the approximately 30-day training and qualification period
Benefits:
- Medical, dental, and vision coverage
- Flexible Spending Account (FSA)
- 401(k) retirement plan
- Competitive paid time off
- Parental leave
- Professional growth and development opportunities
- Benefits in accordance with local requirements and the terms of employment through an Employer of Record partner








