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Data Labeling Specialist | Mexico City | Remote

hace 3 horas


Mexico City OpsArmy A tiempo completo

Data Labeling SpecialistPosition Type: Full-TimeLocation: RemoteApply here: https://operationsarmy.com/applicationJob SummaryWe are seeking a detail-oriented and reliable Data Labeling Specialist to support our machine learning and AI initiatives. In this role, you will be responsible for accurately labeling, categorizing, and annotating data to help train and improve machine learning models. The ideal candidate has strong attention to detail, can follow detailed guidelines, and is comfortable working with large volumes of data.Key ResponsibilitiesLabel and annotate data such as text, images, audio, or video according to provided guidelinesEnsure high accuracy and consistency in data labeling tasksReview and validate labeled data to meet quality standardsFollow project-specific instructions, taxonomies, and annotation rulesIdentify and flag ambiguous or low-quality data for reviewMeet productivity and accuracy targets within assigned deadlinesCollaborate with team leads, QA teams, and AI/ML engineers when neededMaintain data confidentiality and comply with security and privacy policiesRequired QualificationsBachelors degree preferredStrong attention to detail and ability to follow complex instructionsBasic computer skills and familiarity with web-based toolsAbility to work independently with minimal supervisionGood written communication skillsAbility to handle repetitive tasks while maintaining accuracyPreferred QualificationsPrevious experience in data labeling, data annotation, or QA rolesFamiliarity with AI, machine learning, or NLP conceptsExperience labeling text, images, audio, or video dataBasic understanding of spreadsheets or annotation platformsMultilingual skills (depending on project requirements)Skills & CompetenciesExcellent focus and precisionTime management and organizational skillsAnalytical thinkingAdaptability to changing guidelinesTeam-oriented mindsetApply here: https://operationsarmy.com/application