Onsite AI Data Engineer: OCR Workflows & Data Quality

Experis (Austria); Redmond (WA); On-site; USD 51,000 - 55,000; Full time

Benefits offered by this job

Medical and Prescription Drug Plans

Dental Plan

Vision Plan

Health Savings Account

Health Flexible Spending Account

Dependent Care Flexible Spending Plan

Supplemental Life Insurance

Short Term and Long Term Disability

401(k), Plus Match

Weekly Pay

Job summary

Experis is hiring a Data Analyst 1 (AI Data Engineer) to support Applied Sciences teams in Redmond, WA on a 100% onsite basis. In this role, you will help keep OCR processing running smoothly, strengthen data quality for AI training readiness, and maintain clean, well-organized datasets that downstream teams can rely on.

You’ll monitor the OCR pipeline, ensure data quality, and coordinate with Azure storage and processing tools.

Qualifications

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

Responsibilities

• Monitor OCR pipeline processing, track queues, job status, and batch completion.
• Review OCR outputs against source documents using sampling and quality criteria.
• Maintain dataset metadata, inventories, and versioning for AI model training.
• Coordinate Azure file operations, including uploads, downloads, and transfers.
• Support reprocessing by documenting issues and escalating technical risks.

Skills

Data analysis

Data quality

Dataset management

Dashboards usage

Logs monitoring

Education

B.S. degree

2+ years experience

Tools

Azure

PDF

CSV

JSON

Job description

Experis is hiring a Data Analyst 1 (AI Data Engineer) to support Applied Sciences teams in Redmond, WA on a 100% onsite basis. In this role, you will help keep OCR processing running smoothly, strengthen data quality for AI training readiness, and maintain clean, well-organized datasets that downstream teams can rely on.

You’ll monitor the OCR pipeline, ensure data quality, and coordinate with Azure storage and processing tools.