The Document Intelligence (Doc Intel) Data Labeler will focus on labeling document content for AI-driven document processing projects. This involves annotating key information such as text fields, tables, forms, and document structures to enable machine learning models to extract, classify, and interpret document data effectively. The role is crucial for enhancing AI models used in document intelligence systems, such as invoice processing, contract analysis, or form extraction.
Key Responsibilities:
Label and annotate various document types (e.g., invoices, contracts, receipts, forms, legal documents) to train machine learning models for document intelligence.
Identify and tag key elements such as text fields, headers, tables, signatures, and checkboxes in documents.
Annotate structured and unstructured data, ensuring proper classification, extraction points, and segmentation.
Follow project-specific labeling guidelines that may involve identifying specific data points like dates, amounts, entities, and other critical information.
Ensure the integrity of labeled data, maintaining consistency and accuracy throughout the labeling process.
Meet productivity targets while adhering to strict quality standards for accurate data labeling.
Required Skills and Qualifications:
Good to have - Experience in data labeling for document intelligence projects
(invoices, contracts, legal documents, etc.).
Good to have -
Familiarity with
OCR (Optical Character Recognition)
technology and its application in document processing.
Ability to understand and work with
complex document structures
, including tables, nested forms, and multi-page documents.
Strong attention to detail and the ability to follow
specific annotation guidelines
for document-based data labeling.
Basic understanding of
data extraction
processes and how labeled data is used in training AI models for document interpretation.
Job Types: Temporary, Fixed term contract, Freelance
Contract length: 2 weeks
Pay: 13.00 per hour
Expected hours: 40 per week
Benefits:
Work from home
Application question(s):
Are you a French Canadian(YES/NO)?
Work Location: Remote
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