AI Data Engineer – AI Training Data

Experis-US; 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

401(k), Plus Match

Weekly Pay

Job summary

Applied Sciences in Redmond, WA is seeking a Data Analyst 1 to join the team onsite. You will monitor OCR pipelines, review outputs, and maintain datasets for AI training projects.

This role requires a BS degree with 2+ years in data analysis or data operations. You’ll work with Azure file transfers, dashboards, and logs to investigate issues and ensure data quality.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Data analysis

Data operations

Data quality assurance

Dataset management

Education

B.S. degree

Tools

Azure

Job description

Our client, Applied Sciences is seeking a Data Analyst 1 to join their team. As a Data Analyst 1, you will be part of the Applied Sciences organization supporting Applied Sciences teams. The ideal candidate will have strong attention to detail, clear communication, and the ability to stay focused on key points, which will align successfully in the organization.

Job Title: Data Analyst 1
Location: Redmond, WA (100% onsite, Building 87)
Pay Range: $37.17 - $40.07

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.

What's in it for me?

Opportunity to build 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 (Y/N): Yes.

• Medical and Prescription Drug Plans
• Dental Plan
• Vision Plan
• Health Savings Account
• Health Flexible Spending Account
• Dependent Care Flexible Spending Account
• Supplemental Life Insurance
• Short Term and Long Term Disability Insurance
• Business Travel Insurance
• 401(k), Plus Match
• Weekly Pay

We look forward to speaking with you!