Data Labeling Specialist; Multilingual Audio – Labeler & Reviewer | Roma

Position: Data Labeling Specialist (Multilingual Audio – Labeler & Reviewer) | Roma
Job Summary
We are seeking detail‑oriented and reliable Data Labeling Specialists to support our machine learning and AI initiatives, focusing on audio transcription, annotation, and voice data collection. In this role, you will label, categorize, and annotate data to help train and improve machine learning models. Based on experience and performance, individuals may also take on Reviewer (QA) responsibilities to ensure data quality and consistency across the team.
Languages Needed (at least one required)

Mandarin
Cantonese
Korean
Vietnamese
Italian
British English

Core Labeling Responsibilities

Label and annotate data such as audio, text, images, or video according to provided guidelines.
Transcribe audio recordings with high accuracy, including speaker changes and timestamps (when required).
Ensure high accuracy and consistency in all data labeling tasks.
Follow project‑specific instructions, taxonomies, and annotation rules.
Identify and flag ambiguous, unclear, or low‑quality data for review.
Meet productivity and accuracy targets within assigned deadlines.

Reviewer / QA Responsibilities (as applicable)

Review and validate labeled data to meet quality standards.
Provide clear, actionable feedback to improve labeling accuracy.
Identify trends in errors and elevate issues to team leads.
Support calibration and training efforts to maintain consistency across labelers.

General Responsibilities

Collaborate with team leads, QA teams, and AI/ML engineers when needed.
Maintain data confidentiality and comply with security and privacy policies.

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