Data Labeling Specialist (Multilingual Audio – Labeler & Reviewer) | Remote Apply here: https://operationsarmy.com/application 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) Mandarin Cantonese Korean Vietnamese Italian British English Key Responsibilities 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 escalate 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 Required Qualifications Native or near-native fluency in at least one listed language Str

📌 Data Labeling Specialist (Toscana)
🏢 OpsArmy
📍 Toscana