Italian Language
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We 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
Se le sue competenze, la sua esperienza e le sue qualifiche corrispondono a quelle descritte in questa panoramica, non ritardi l'invio della sua candidatura.
listening to short audio clips, transcribing spoken Italian accurately, and marking relevant audio
events.
This is a great opportunity for students interested in Artificial Intelligence (AI), language
technologies, speech processing, data annotation, and real-world industry projects. Prior
experience is not required—training and onboarding will be provided.
Duration: 2 Weeks
Joining : Immediate
Working Hours: Flexible
Expected Commitment: 5–6 hours/day preferred
Compensation: EUR 200–300
Certificate: Provided upon successful completion
Responsibilities
- Listen to short audio segments (10–20 seconds).
- Transcribe spoken Italian accurately.
- Identify and mark pauses, background noise, overlapping speech, coughs, unclear speech, and
unintelligible audio.
- Follow annotation guidelines carefully.
- Review completed work for quality and consistency.
Skills Required
- Native or near-native Italian proficiency.
- Good English reading and comprehension skills.
- High attention to detail.
- Basic computer proficiency.
- Ability to follow detailed instructions.
- No prior experience required. Training will be provided.
Ideal Candidate
- Students or recent graduates in Italy.
- Native or fluent Italian speakers with strong listening and comprehension skills.
- Interested in AI, language technologies, speech processing, or data-related work.
- Comfortable working remotely and independently.
- Careful, patient, and detail-oriented.
- Have a laptop/desktop and a stable internet connection.
Selection Process
Candidates will complete a short Italian transcription assessment before onboarding.
Application
Interested candidates may share their details and availability. xbvzest Shortlisted applicants will be contacted for the transcription assessment and onboarding process.
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