AI Data Engineer – AI Training Data

ManpowerGroup; Redmond; On-site; AUD 73,000 - 79,000; Full time

Benefits offered by this job

Medical plan

Prescription drug plan

Dental plan

Vision plan

Health Savings Account

Flexible Spending Account

Life insurance

Disability insurance

Business travel insurance

401(k) match

Weekly pay

Job summary

Applied Sciences is seeking a Data Analyst 1 to join the team in Redmond, WA. This onsite role focuses on supporting OCR data pipelines, ensuring data quality, and maintaining datasets for AI model training.

Expect collaboration with engineers and applied scientists on data readiness and operational transparency. The position offers a structured 40-hour workweek with a clearly defined pay range and extensive benefits.

Qualifications

• BS degree required or equivalent.
• 2+ years of hands-on data analysis experience.
• Experience with data quality assurance and dataset management.
• Familiarity with dashboards, tools, and logs to monitor workflows.

Responsibilities

• Monitor OCR pipelines, track queues, status, and batch performance.
• Review OCR outputs against source documents using sampling and quality criteria.
• Maintain metadata, inventories, and dataset versioning for model training.
• Manage Azure uploads/downloads of source files and datasets, ensure integrity.
• Coordinate reprocessing and escalate technical risks to engineers.

Skills

Data analysis

Data quality

Dataset management

Data operations

Education

BS degree

Tools

Cloud storage

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.

Upon completion of waiting period consultants are eligible for:

• 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

ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.