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 ******* /ppCertificate: Provided upon successful completion /ppbr/ppResponsibilities /pp• Listen to short audio segments ****** 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 (Trieste)
🏢 Zyka AI
📍 Trieste