Remote Audio Content Annotation
Pubblicato il 16-10-2026 - ModSquad in Firenze
We Could Use Someone Like You in Our Crew.
ModSquad is looking for detail-oriented and culturally aware Italian and English bilingual professionals to join our Content Annotation team. In this role, you'll work with a wide range of digital audio content, including music, podcasts, and audiobooks , helping ensure that content and search experiences are accurately understood and represented for audiences around the world.
If Italian is your primary language and you have a strong understanding of the language, culture, and local content, this is an opportunity to put your language expertise and cultural knowledge to work in a dynamic global project.
What You'll DoReview and annotate music, podcasts, audiobooks, and related search scenarios with accuracy and cultural awarenessUse your language expertise and cultural knowledge to understand content, context, and user intentListen to and evaluate audio content when needed, considering relevance, context,
and local cultural nuancesResearch information online to verify details and support accurate evaluationsApply project guidelines consistently while using good judgment when handling nuanced or subjective contentClearly document your findings, insights, and questions in EnglishComplete assigned annotation tasks within established 1–2 week project timelines across rotating project typesIncorporate feedback and escalate questions or issues when additional clarification is neededProject Commitment30 hours per weekHours of Operation (Pacific Time)5:00 AM to 4:00 PM PSTWhat We're Looking ForItalian as a primary language, with strong written and verbal English proficiencyStrong understanding of the culture, language, and local contentFamiliarity with Italian music, podcasts, audiobooks, and other digital mediaComfortable exploring and navigating audio streaming platforms on both desktop and mobile devicesExcellent attention to detail and a strong commitment to accuracy and consistencyExperience with content annotation, rating, o