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Data Annotation Engineer Jobs in Minnesota (NOW HIRING)

Abbott

Database Architect

Little Canada, MN · On-site

$64 - $69/hr

Partner with Clinical, IT, Engineering, physicians, and external vendors to support data initiatives. * Drive data labeling, annotation, and dataset preparation for AI/ML development and validation.

All JobsData Annotation Engineer JobsData Annotation Engineer Jobs in Minnesota

Data Annotation Engineer information

See Minnesota salary details

$50.4K

$144.4K

$192.9K

How much do data annotation engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data annotation engineer in Minnesota is $144,425.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,300.00 and $192,000.00 per year, depending on experience, location, and employer.

What is a data annotation engineer?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What are the key skills and qualifications needed to thrive as a data annotation engineer?

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

What are the main challenges faced by data annotation engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

What is the salary of data annotation engineer?

The salary of a data annotation engineer typically ranges from $40,000 to $80,000 annually, depending on experience, location, and the complexity of annotation tasks. Entry-level positions may start lower, while experienced professionals with specialized skills in tools like Labelbox or CVAT can earn higher salaries.

What are popular job titles related to Data Annotation Engineer jobs in Minnesota?

For Data Annotation Engineer jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Data Annotation Engineer jobs in Minnesota look for?

The top searched job categories for Data Annotation Engineer jobs in Minnesota are:

What cities in Minnesota are hiring for Data Annotation Engineer jobs?

Cities in Minnesota with the most Data Annotation Engineer job openings:

Data Annotation Engineer jobs near you
Infographic showing various Data Annotation Engineer job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 9% Part Time, and 6% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $144,425 per year, or $69.4 per hour.

Database Architect

Abbott

Little Canada, MN • On-site

$64 - $69/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago

Abbott rating

7.8

Company rating: 7.8 out of 10

Based on 138 frontline employees who took The Breakroom Quiz

171st of 547 rated manufacturers

Job description

Title: Database Architect
Location: St. Paul, MN
Duration: 12 Month
100% On-Site
Position Summary:
Abbott's Electrophysiology (EP) R&D organization generates an expanding volume of clinical, imaging, mapping, and outcomes data that serves as the foundation for next-Generation AI/ML solutions. To accelerate innovation, we are seeking a Data Operations & R&D Data Management Manager to lead the strategy, processes, and infrastructure that enable secure, scalable, and compliant use of data across the product development lifecycle.
Overview:
Lead the strategy, governance, and operations of clinical, imaging, mapping, and outcomes data to support AI/ML innovation within Abbott's Electrophysiology R&D organization.
Key Responsibilities:
  • Develop and enhance scalable data platforms using Azure, Databricks, and cloud technologies.
  • Oversee data acquisition, ingestion, quality, governance, cataloging, lineage, and lifecycle management.
  • Ensure datasets are secure, compliant, audit-ready, and accessible for R&D and AI/ML teams.
  • Partner with Clinical, IT, Engineering, physicians, and external vendors to support data initiatives.
  • Drive data labeling, annotation, and dataset preparation for AI/ML development and validation.
  • Establish governance processes aligned with FDA, GxP, HIPAA, GDPR, and corporate policies.
  • Manage stakeholders, vendors, project timelines, and data operations activities.

Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Health Informatics, Biomedical Engineering, or related field.
  • 5+ years of experience in data management, data operations, data engineering, or clinical data environments.
  • Experience with large clinical, imaging, or healthcare datasets.
  • Knowledge of data governance, metadata management, data quality, and cloud platforms.
  • Proficiency in SQL and exposure to Python.
  • Strong communication, project management, and stakeholder management skills.

Preferred Qualifications:
  • Experience in medical devices, healthcare, life sciences, or regulated environments.
  • Familiarity with EP, cardiac mapping, imaging data, DICOM, HL7, and FHIR.
  • Experience supporting AI/ML, MLOps, data annotation, or model governance.
  • Knowledge of Microsoft Purview, Collibra, Alation, and FDA/21 CFR Part 11 compliance.

Impact:
Enable trusted, high-quality data access, accelerate AI/ML innovation, improve compliance and efficiency, and support the development of next-generation cardiac care technologies.
Consultants Eligible Benefits Upon Waiting Period:
  • Medical and Prescription Drug Plans
  • Dental Plan
  • Vision Plan
  • Health Savings Account (for High-Deductible Health Plans)
  • Flexible Spending Accounts (Health, Limited Purpose, Dependent Care, Commuter Parking and Commuter Transit)
  • Supplemental Life Insurance
  • Short Term Disability (coverage varies by state)
  • Long Term Disability
  • Critical Illness, Hospital coverage, Accident Insurance
  • MetLife Legal, MetLife ID Fraud, and MetLife Pet Insurance
  • 401(k)

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritional and branded generic medicines.
Working together, Abbott and Talent Solutions partner to deliver top talent for contingent roles at Abbott, building better and healthier lives. Abbott believes all employees are essential to creating life-changing breakthroughs, performing key duties to create life-changing breakthroughs.
  • Published on 04 Sep 2026, 10:23 PM

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