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Weekend Ai Data Annotation Jobs in Minneapolis, MN

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 ...

Accenture

AI and Data Architect Manager

Minneapolis, MN · On-site

Ability to work a flexible schedule, including evenings, weekends, and holidays, as business needs ... Minimum of 8+ years of experience in AI, Data, or consulting roles, including 3+ years in a client ...

New

Programmers.io

AI Program Lead

Minneapolis, MN · On-site

... AI, Data or Digital programs) o Solution architecture and proposal building · Deep understanding ... weekends if needed) · Strong ownership mindset (not staff augmentation mindset) · Capable of ...

Introl

Data Center Technician

Saint Paul, MN · On-site

$30 - $36/hr

The region serves major enterprises requiring GPU computing infrastructure for AI and analytics ... weekends, or non-standard hours as needed Legal authorization to work in the U.S. without ...

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Weekend Ai Data Annotation information

What is a Weekend AI Data Annotation specialist?

Weekend AI Data Annotators are professionals who label, categorize, and tag data—such as images, audio, or text—for use in training artificial intelligence models, specifically working on weekends. Their work ensures that machine learning algorithms receive high-quality, accurately labeled datasets for tasks like computer vision, natural language processing, or speech recognition. This role often involves using specialized annotation tools and following precise guidelines to maintain consistency and accuracy. Weekend annotators may work remotely or on-site, and their contributions are vital for improving AI system performance.

What skills and qualifications are needed to thrive as a Weekend AI Data Annotation specialist?

To thrive as a Weekend AI Data Annotation Specialist, you need attention to detail, strong analytical skills, and familiarity with data labeling processes, often supported by a high school diploma or post-secondary coursework in a technical field. Proficiency with annotation platforms like Labelbox, Supervisely, or internal company tools is typically required, along with basic knowledge of data privacy protocols. Reliability, time management, and effective communication are crucial soft skills for meeting project deadlines and collaborating with remote teams. These skills and qualities ensure the accuracy and efficiency of annotated datasets, which are essential for high-performing AI systems.

What are common challenges faced by Weekend AI Data Annotation specialists, and how can they be managed?

Weekend AI Data Annotation specialists often encounter challenges such as maintaining high attention to detail during repetitive tasks and managing productivity over long annotation sessions. Since the work is typically remote or semi-remote, self-motivation and effective time management are crucial to meet project deadlines. It's helpful to take regular breaks, communicate proactively with team leads when questions arise, and make use of any annotation guidelines or quality assurance feedback provided. Collaborating with teammates through chat platforms or project management tools can also enhance consistency and resolve uncertainties quickly.

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

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

What are popular job titles related to Weekend Ai Data Annotation jobs in Minneapolis, MN?

For Weekend Ai Data Annotation jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Weekend Ai Data Annotation jobs in Minneapolis, MN look for?

The top searched job categories for Weekend Ai Data Annotation jobs in Minneapolis, MN are:

Weekend Ai Data Annotation 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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