Italian Language - Audio Annotation & Transcription

13 set - Ancona
Zyka AI

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. xlwpduy Shortlisted applicants will be contacted for the transcription assessment and onboarding process.

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