Description

What's the Job?

• Monitor existing OCR pipelines and track processing queues, job status, completion rates, and failed or stalled batches.
• Review generated OCR outputs against source documents using sampling and established quality criteria.
• Maintain accurate metadata, inventories, and dataset versioning to ensure datasets are complete and organized for downstream AI model training.
• Manage Azure uploads, downloads, and transfers of source files and generated datasets, verifying completion, file counts, and integrity.
• Coordinate reprocessing by documenting issues, escalating technical risks to engineers, and maintaining operational trackers and dashboards.

What's Needed?

• B.S degree and 2+ years of hands-on experience in data analysis, data operations, data quality assurance, or dataset management.
• Hands-on experience with cloud storage, including file organization and uploads/downloads.
• Experience checking data completeness, accuracy, consistency, and metadata quality.
• Ability to use existing dashboards, processing tools, and logs to monitor workflows and investigate exceptions.
• Familiarity with common document and data formats, including PDF, text, CSV, and JSON

Key Skills

Education

Any Graduate