AI Data Engineer role supporting Applied Sciences teams with OCR pipeline monitoring and AI training dataset readiness in Redmond, WA.

Monitor active OCR pipelines and track processing queues, job status, completion rates, and failed or stalled batches
Evaluate generated OCR outputs versus source documents using sampling and established quality criteria
Maintain dataset metadata, inventories, and dataset versioning to support complete, organized datasets for downstream AI model training
Manage Azure file operations, including uploads, downloads, and transfers of source files and generated datasets; verify completion, file counts, and integrity
Coordinate reprocessing workflows by documenting issues, escalating technical risks to engineers, and keeping operational trackers and dashboards up to date

B.S. degree and 2+ years 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 validating data completeness, accuracy, consistency, and metadata quality
Ability to use dashboards, processing tools, and logs to monitor workflows and investigate exceptions
Familiarity with common document and data formats, including PDF, text, CSV, and JSON

Hands-on AI training data operations experience by supporting OCR processing and dataset readiness
Clear impact on data quality and risk mitigation for confidential, high-value model training datasets
Structured work with a Monday–Friday schedule (40 hours/week) and no estimated overtime
Collaboration with engineers and applied scientists to identify issues and coordinate reprocessing
Chance for extension: Yes

Upon completion of the waiting period, consultants are eligible for:

AI Data Engineer

Job Description