Posted:20 hours ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

About the Role:


Data/document Annotator

Key Responsibilities:


Organizing Documents:

  • Review and categorize construction payment applications (20–1,000+ pages each).
  • Identify key documents like invoices, insurance certificates, and contracts.
  • Set up a structured folder system for easy access.

  • Processing & Converting Files:

    • Use OCR (Optical Character Recognition) to make scanned documents readable.
    • Convert messy or unusable files into a structured format.
    • Extract important data using document parsing tools.

  • 🔹 Indexing & Tagging:

    • Create a searchable index with project details, payment info, and document types.
    • Add metadata tags to make future searches easier.


    🔹 Preparing Data for AI & Machine Learning:

    • Group related documents logically (e.g., payment applications, change orders).
    • Work with the AI/ML team to structure data for automation.
    • Suggest best practices for document storage and access.


    Who Should Apply?


    Must-Have:

    • Engineering degree
    • 2–4 years of experience in document management, records management, or construction documentation annotation
    • Strong skills in PDF management, OCR tools, and file organization.
    • Experience handling construction payment applications, invoices, and contracts.
    • Worked on several different annotation's projects - data Summarisation and annotations, Worked on OCR data (Image & Text both)
    • Familiarity with Dropbox, SharePoint, or similar storage tools.

    Good to Have:

    • Knowledge of data extraction and document management tools.
    • Experience with

      Excel, Power BI, or database management.

    • Understanding of machine learning data preparation.
    • LLM, RAG , AI Annotation platforms



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