{"schemaVersion":"jobsearcher.job.v1","id":"8ae2154c5f1e5fddb151db53","url":"https://jobsearcher.com/jobs/8ae2154c5f1e5fddb151db53","canonicalUrl":"https://jobsearcher.com/jobs/8ae2154c5f1e5fddb151db53","title":"Data Labeling Expert - Remote","description":"Location: Remote\nJob Type: Contract\nRole Description\nJoin a dynamic and fast-growing AI infrastructure company that collaborates with Fortune 100 clients to shape the future of machine learning and artificial intelligence. As a Data Annotator, you will be responsible for accurately identifying, classifying, and annotating entities within PDF documents. Your work will directly contribute to training AI models that extract structured information from complex documents, making high-quality annotation critical to project success.\nYour Profile\nBachelor’s degree (any field; preference for Technology, Engineering, or Data-related disciplines).\n6 months – 2+ years of experience in data annotation, labeling, or similar roles (preferred but not mandatory).\nStrong attention to detail and ability to follow complex annotation guidelines.\nBasic understanding of document structures (text blocks, tables, forms, figures, etc.).\nAbility to interpret and apply rules related to bounding boxes, classification, and reading order\nComfortable working with repetitive tasks while maintaining high accuracy.\nFamiliarity with annotation tools or platforms is a plus.\nKey Responsibilities\nAnnotate PDF documents by drawing precise bounding boxes around entities such as text, tables, figures, captions, headers, and key-value structures.\nClassify annotated elements according to project guidelines.\nEnsure bounding boxes are tight, accurate, and follow annotation standards.\nMaintain correct reading order and logical structure across document elements.\nHandle complex layouts including multi-column text, forms, tables, and rotated pages.\nFollow detailed annotation instructions and apply rules consistently across all tasks.\nIdentify and flag unclear cases or guideline gaps to supervisors.\nMaintain confidentiality and adhere strictly to data security policies.","company":"Yoitconsulting","rawCompany":"yoitconsulting","city":"Remote","state":"OR","isRemote":true,"isActive":false,"createdAt":"2026-07-16T17:59:26.335Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.03","title":"Document Management Specialists","slug":"document-management-specialists"}],"industries":[{"code":"561410","title":"Document Preparation Services","slug":"document-preparation-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Labeling Expert - Remote","description":"Location: Remote\nJob Type: Contract\nRole Description\nJoin a dynamic and fast-growing AI infrastructure company that collaborates with Fortune 100 clients to shape the future of machine learning and artificial intelligence. As a Data Annotator, you will be responsible for accurately identifying, classifying, and annotating entities within PDF documents. Your work will directly contribute to training AI models that extract structured information from complex documents, making high-quality annotation critical to project success.\nYour Profile\nBachelor’s degree (any field; preference for Technology, Engineering, or Data-related disciplines).\n6 months – 2+ years of experience in data annotation, labeling, or similar roles (preferred but not mandatory).\nStrong attention to detail and ability to follow complex annotation guidelines.\nBasic understanding of document structures (text blocks, tables, forms, figures, etc.).\nAbility to interpret and apply rules related to bounding boxes, classification, and reading order\nComfortable working with repetitive tasks while maintaining high accuracy.\nFamiliarity with annotation tools or platforms is a plus.\nKey Responsibilities\nAnnotate PDF documents by drawing precise bounding boxes around entities such as text, tables, figures, captions, headers, and key-value structures.\nClassify annotated elements according to project guidelines.\nEnsure bounding boxes are tight, accurate, and follow annotation standards.\nMaintain correct reading order and logical structure across document elements.\nHandle complex layouts including multi-column text, forms, tables, and rotated pages.\nFollow detailed annotation instructions and apply rules consistently across all tasks.\nIdentify and flag unclear cases or guideline gaps to supervisors.\nMaintain confidentiality and adhere strictly to data security policies.","datePosted":"2026-07-16T17:59:26.335Z","dateModified":"2026-07-16T17:59:26.335Z","hiringOrganization":{"@type":"Organization","name":"Yoitconsulting","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8ae2154c5f1e5fddb151db53"},"url":"https://jobsearcher.com/jobs/8ae2154c5f1e5fddb151db53"}}