This opportunity is ideal for native Italian speakers with strong listening skills who are comfortable identifying nuances in spoken audio and working independently on transcription and transcript-cleanup tasks.

What You'll Do:

• Produce accurate transcriptions of spoken Italian audio.
• Clean up and correct Italian audio transcripts.
• Carefully identify details such as crosstalk, filled pauses, background noise, and multiple speakers.
• Follow detailed transcription, style, and formatting guidelines.
• Work independently and asynchronously on your own schedule.
• Maintain accuracy and consistency across assigned transcription tasks.

Requirements:

• Native speaker of Italian.
• Strong listening skills and attention to detail.
• Comfortable working independently without direct supervision.
• Self-motivated and reliable.
• Able to follow detailed style and formatting guidelines.

Nice to Haves:

• Previous experience as a transcriptionist.
• Experience as a court reporter.
• Background in subtitle or closed-captioning editing.
• Background in linguistics.
• Previous experience working with annotation platforms.

• Fully remote contract opportunity.
• Work independently and asynchronously on your own schedule.
• Compensation ranges from $10–$35 USD per hour.
• Expected workload is 10–39 hours per week, depending on project needs.
• Work volume may fluctuate throughout the duration of the contract.
• Weekly lump-sum payments for work completed during the previous week.
• If selected, you will receive an Upwork contract offer and instructions for onboarding to the client's tasking platform.
• An active contract is required to receive onboarding instructions, evaluation/assessment access, and payment for the project.

An enterprise client is seeking a high volume of detail-oriented Italian Transcriptionists to help produce accurate transcriptions of spoken Italian audio and clean up and correct audio transcripts.

The selected consultants will support the company, a leading AI platform that helps organizations build intelligent applications through high-quality human feedback and data labeling.