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Annotation Labelling Jobs in Minnesota (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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Annotation Labelling information

What is annotation labelling?

Annotation labelling is the process of tagging or marking data—such as images, text, or audio—with relevant information or labels. This is an essential step in preparing datasets for machine learning and artificial intelligence models, as it helps algorithms understand and learn from raw data. Annotation labelling can include tasks like identifying objects in photos, transcribing speech, or categorizing text. Skilled annotators ensure accuracy and consistency to improve model performance. People in this role often use specialized tools or software to streamline and standardize the annotation process.

What are the key skills and qualifications needed to thrive as an annotation labelling specialist?

To thrive as an Annotation Labelling Specialist, you need strong attention to detail, data analysis capabilities, and familiarity with data annotation standards, usually supported by a background in computer science or related fields. Proficiency with annotation tools such as Labelbox, CVAT, or Supervisely, and sometimes knowledge of basic programming or scripting, is typically required. Excellent communication, consistency, and the ability to follow complex instructions are crucial soft skills for producing high-quality labeled data. These skills ensure the accuracy and reliability of datasets, which are foundational for successful machine learning and AI model development.

What are some common challenges faced by annotation labelling professionals, and how can they be managed?

Annotation Labelling professionals often encounter challenges such as maintaining high accuracy while handling repetitive data, meeting tight deadlines, and adapting to evolving project guidelines. To manage these, it’s important to develop strong attention to detail, regularly communicate with team leads to clarify instructions, and leverage annotation tools efficiently. Collaborating closely with quality assurance teams can also help identify and correct errors early, ensuring consistently high-quality outputs.

What is the difference between Annotation Labelling vs Data Labeling Specialist?

AspectAnnotation LabellingData Labeling Specialist
CredentialsBasic technical skills, attention to detailSimilar skills, sometimes additional domain knowledge
Work EnvironmentData annotation platforms, remote or officeData annotation tasks, often remote or in-office
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, healthcare, retail
Search & ComparisonCommonly compared for entry-level data tasksRelated but broader role

Annotation Labelling involves marking data such as images, text, or videos to train AI models. Data Labeling Specialists perform similar tasks but may have a broader scope, including verifying and managing labeled data. Both roles are essential in AI development, often overlapping in skills and work environment, but Annotation Labelling is more focused on the annotation process itself.

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

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

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

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

What cities in Minnesota are hiring for Annotation Labelling jobs?

Cities in Minnesota with the most Annotation Labelling job openings:

Annotation Labelling jobs near you

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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