Translation Project Manager
Pubblicato il 13-08-2026 - iMerit Scholars in Italia
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 specifically for Large Language Model (L