pWe are looking for motivated students to join a short-term paid internship focused on Italian audio annotation and transcription. Interns will work on speech and language datasets by /pplistening to short audio clips, transcribing spoken Italian accurately, and marking relevant audio /ppevents. /ppbr/ppThis is a great opportunity for students interested in Artificial Intelligence (AI), language /pptechnologies, speech processing, data annotation, and real-world industry projects. Prior /ppexperience is not required—training and onboarding will be provided. /ppbr/ppDuration: 2 Weeks /ppJoining : Immediate /ppWorking Hours: Flexible /ppExpected Commitment: 5–6 hours/day preferred /ppCompensation: EUR 200–300 /ppCertificate: Provided upon successful completion /ppbr/ppResponsibilities /pp• Listen to short audio segments (10–20 seconds). /pp• Transcribe spoken Italian accurately. /pp• Identify and mark pauses, background noise, overlapping speech, coughs, unclear speech, and /ppunintelligible audio. /pp• Follow annotation guidelines carefully. /pp• Review completed work for quality and consistency.



/ppbr/ppSkills Required /pp• Native or near-native Italian proficiency. /pp• Good English reading and comprehension skills. /pp• High attention to detail. /pp• Basic computer proficiency. /pp• Ability to follow detailed instructions. /pp• No prior experience required. Training will be provided. /ppbr/ppIdeal Candidate /pp• Students or recent graduates in Italy. /pp• Native or fluent Italian speakers with strong listening and comprehension skills. /pp• Interested in AI, language technologies, speech processing, or data-related work. /pp• Comfortable working remotely and independently. /pp• Careful, patient, and detail-oriented. /pp• Have a laptop/desktop and a stable internet connection. /ppbr/ppSelection Process /ppCandidates will complete a short Italian transcription assessment before onboarding. /ppbr/ppApplication /ppInterested candidates may share their details and availability. Shortlisted applicants will be contacted for the transcription assessment and onboarding process. /p

📌 Italian Language - Audio Annotation & Transcription (Modena)
🏢 Zyka AI
📍 Modena