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Data Annotation Jobs in Roseville, MN (NOW HIRING)

Abbott

Database Architect

Little Canada, MN · On-site

$64 - $69/hr

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 ...

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Data Annotation information

What is a data annotation?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

What does a data annotation do?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

What are the key skills and qualifications needed to thrive in data annotation?

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

How much money can I make doing data annotation?

Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Experienced annotators or those working on specialized projects may earn higher rates, especially if they have skills in specific tools or domains. Earnings can vary based on whether the work is freelance, part-time, or full-time, and some platforms offer bonuses for accuracy or speed.

What are the most commonly searched types of Data Annotation jobs in Roseville, MN?

The most popular types of Data Annotation jobs in Roseville, MN are:

What job categories do people searching Data Annotation jobs in Roseville, MN look for?

The top searched job categories for Data Annotation jobs in Roseville, MN are:

What cities near Roseville, MN are hiring for Data Annotation jobs?

Cities near Roseville, MN with the most Data Annotation job openings:

Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Roseville, MN as of August 2026, with employment types broken down into 60% Full Time, 24% Part Time, and 16% Contract. Highlights an 71% In-person, and 29% Remote job distribution.

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 546 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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