Document Annotation Specialist (PDF)

SME Careers

United States

Remoto

USD 42.000 - 65.000

Tempo integral

14 dias+

Uma candidatura completa em um minuto

Currículo e carta de apresentação personalizados, prontos para serem enviados.

Passe pelos filtros ATS

Resumo da vaga

Joinkeywork is seeking a Data Annotator to identify, classify, and annotate entities within PDF documents. Your work directly supports training AI models to extract structured information from complex documents with high accuracy.

Responsibilities include drawing precise bounding boxes for text, tables, figures, and headers, maintaining proper reading order, and handling multi-column layouts. Bachelor's degree and 6 months+ experience preferred.

Qualificações

  • Bachelor’s degree in any field (preference for tech/data-related disciplines).
  • 6 months–2+ years in data annotation, labeling, or similar roles (preferred).
  • Strong attention to detail and ability to follow complex guidelines.
  • Basic understanding of document structures (text blocks, tables, forms, figures).
  • Ability to interpret and apply rules for bounding boxes, classification, and reading order.

Responsabilidades

  • Annotate PDF documents by drawing bounding boxes around entities (text, tables, figures, captions, headers, key-value structures).
  • Classify annotated elements per project guidelines.
  • Ensure bounding boxes are tight, accurate, and follow annotation standards.
  • Maintain reading order and logical structure across document elements.

Conhecimentos

Attention to detail
Reading order understanding
Annotation guidelines
Document understanding

Formação

Bachelor's degree

Ferramentas

Annotation tools

Descrição da vaga

Join 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.

Responsibilities

  • Annotate PDF documents by drawing precise bounding boxes around entities such as text, tables, figures, captions, headers, and key-value structures.
  • Classify annotated elements according to project guidelines.
  • Ensure bounding boxes are tight, accurate, and follow annotation standards.
  • Maintain correct reading order and logical structure across document elements.
  • Handle complex layouts including multi-column text, forms, tables, and rotated pages.
  • Follow detailed annotation instructions and apply rules consistently across all tasks.
  • Identify and flag unclear cases or guideline gaps to supervisors.
  • Maintain confidentiality and adhere strictly to data security policies.

Requirements

  • Bachelor’s degree (any field; preference for Technology, Engineering, or Data-related disciplines).
  • 6 months - 2+ years of experience in data annotation, labeling, or similar roles (preferred but not mandatory).
  • Strong attention to detail and ability to follow complex annotation guidelines.
  • Basic understanding of document structures (text blocks, tables, forms, figures, etc.).
  • Ability to interpret and apply rules related to bounding boxes, classification, and reading order
  • Comfortable working with repetitive tasks while maintaining high accuracy.
  • Familiarity with annotation tools or platforms is a plus.
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