Italian Language Specialist
Pubblicato il 17-08-2026 - iMerit Scholars in Como
iMerit seeks detail-oriented and skilled Gen AI Data Annotation Analysts to join our global remote teams. Analysts will perform annotations across various modalities—including text, image, and video—to deliver high-quality datasets essential for training and refining cutting- edge Generative AI models.
Role Responsibilities:
- Annotate high-quality training data across text, image, and video modalities, adhering strictly to provided project guidelines.
- Generate accurate data annotation as per project requirements.
- Apply critical thinking and logical decision-making when handling ambiguous data scenarios.
- Proactively identify and report annotation tool issues, bugs, or potential improvements.
- Collaborate with Language Leads, Project Managers, and technical teams to ensure annotation tasks meet quality standards.
Skills & Competencies:
- Exceptional attention to detail and strong analytical skills for identifying inaccuracies and ensuring annotation precision.
- Proficiency in adapting to various project specifications and guidelines.
- Excellent reading comprehension skills in the target language equivalent to CEFR B2 and above.
- Strong organizational skills, capable of managing multiple annotation tasks efficiently and independently.
- Comfort handling social media content, demonstrating proficiency at a minimum of understanding PII and NER related content.
- Ability to quickly learn and navigate diverse annotation platforms and tools.
Requirements:
- Bachelor's degree/ diploma or equivalent educational qualification.
- Minimum of 1-2 years of experience in annotation tasks, linguistic data handling, or related AI/ML projects.
- Demonstrated experience working with data annotation tools and software platforms.
- Strong understanding of language nuances, including grammar, style, and cultural context.
- Ability to adapt quickly to changing project directions and fast-paced work environments.
- Previous experience creating or annotating complex data specifi