Data labeling specialist (multilingual audio – labeler & reviewer) | rome

Data Labeling Specialist (Multilingual Audio – Labeler & Reviewer) | Remote Job Summary We are seeking detail‑oriented and reliable Data Labeling Specialists to support our machine learning and AI initiatives, with a focus on audio transcription, annotation, and voice data collection. In this role, you will be responsible for accurately labeling, categorizing, and annotating 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. The ideal candidate has strong attention to detail, can follow detailed guidelines, and is comfortable working with large volumes of data in a structured environment.Languages Needed (at Least One Required)MandarinCantoneseKoreanVietnameseItalianBritish EnglishCore Labeling ResponsibilitiesLabel and annotate data such as audio, text, images, or video according to provided guidelinesTranscribe audio recordings with high accuracy, including speaker changes and timestamps (when required)Ensure high accuracy and consistency in all data labeling tasksFollow project‑specific instructions, taxonomies, and annotation rulesIdentify and flag ambiguous, unclear, or low‑quality data for reviewMeet productivity and accuracy targets within assigned deadlinesReviewer / QA Responsibilities (as Applicable)Review and validate labeled data to meet quality standardsProvide clear, actionable feedback to improve labeling accuracyIdentify trends in errors and elevate issues to team leadsSupport calibration and training efforts to maintain consistency across labelersGeneral ResponsibilitiesCollaborate with team leads, QA teams, and AI/ML engineers when neededMaintain data confidentiality and comply with security and privacy policiesRequired QualificationsNative or near‑native fluency in at least one listed languageStrong attention to detail and ability to follow complex instructionsStrong listening and comprehension skills, especially for audio‑based tasksBasic computer skills and familiarity with web‑based toolsAbility to work independently with minimal supervisionStrong written communication skills in English sufficient to follow detailed instructions and collaborate with a remote teamAbility to handle repetitive tasks while maintaining accuracyPreferred QualificationsBachelor's degree preferredPrevious experience in data labeling, transcription, annotation, or QA rolesExperience working with audio transcription or voice‑related dataFamiliarity with AI, machine learning, or NLP conceptsExperience using annotation tools or platformsMultilingual capabilities beyond one required languageExperience reviewing or auditing work (for QA/reviewer track)Skills & CompetenciesExcellent focus and precisionTime management and organizational skillsAnalytical thinking and problem‑solvingAdaptability to changing guidelines and workflowsStrong collaboration and team‑oriented mindsetAbility to provide and receive constructive feedback (for reviewer track)Compensation & GrowthOpportunities for ongoing work and increased volume based on performanceClear growth path from Labeler to Reviewer / QA rolesWork EnvironmentFully remote, globally distributed teamStructured workflows with ongoing training and supportPerformance‑driven culture with opportunities for advancement