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Data Labeler Remote Jobs in Minneapolis, MN (NOW HIRING)

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Data Labeler Remote information

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$15

$40

$59

How much do data labeler remote jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for data labeler remote in Minneapolis, MN is $40.38, according to ZipRecruiter salary data. Most workers in this role earn between $35.38 and $45.67 per hour, depending on experience, location, and employer.

What does a remote data labeler do?

A remote data labeler is responsible for annotating or tagging data—such as images, videos, audio, or text—from a remote location, typically working from home. Their work helps train machine learning models by providing accurate, labeled datasets that algorithms use to learn and make predictions. Data labelers follow specific guidelines to ensure consistency and accuracy, and may use specialized software tools to complete their tasks. This role is essential in industries like artificial intelligence, self-driving cars, and natural language processing. Remote data labelers often work as freelancers or as part of distributed teams for tech companies.

What are the key skills and qualifications needed to thrive as a remote data labeler?

To thrive as a Data Labeler Remote, you need strong attention to detail, basic data analysis skills, and familiarity with data annotation processes, often supported by a high school diploma or equivalent. Proficiency with labeling platforms, annotation tools, and sometimes knowledge of spreadsheet software are typically required. Reliability, time management, and effective communication are crucial soft skills for maintaining accuracy and meeting project deadlines in a remote setting. These skills ensure high-quality, consistent labeled data, which is essential for training reliable machine learning models.

What are some common challenges faced by remote data labelers and how can they be managed?

Remote data labelers often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistent annotation quality, and communicating effectively with distributed teams. To manage these, it's helpful to establish a structured work routine, take regular breaks to prevent fatigue, and use annotation guidelines provided by employers. Leveraging collaboration tools for feedback and clarification also helps maintain high-quality output and fosters a sense of connection with team members.

What is the difference between Data Labeler Remote vs Data Annotator Remote?

AspectData Labeler RemoteData Annotator Remote
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML data preparationCommon in AI/ML data preparation
Job FocusLabeling data points for machine learningAnnotating data for training AI models

Both Data Labeler Remote and Data Annotator Remote roles involve preparing data for AI and machine learning projects. While the terms are often used interchangeably, Data Labeler Remote typically emphasizes labeling data points, whereas Data Annotator Remote may include more detailed annotation tasks. Both roles require similar skills and are performed remotely, making them accessible for individuals seeking flexible data-related jobs.

How much does a data labeler remote make?

Remote data labelers typically earn between $12 and $20 per hour, depending on experience, complexity of tasks, and the company. Some positions may offer additional incentives or flexible schedules, but wages generally align with entry-level data annotation roles in the industry.

Is data labeling a good career?

Data labeling is a common entry-level role in the AI and machine learning industry, involving annotating data such as images, text, or audio to train algorithms. It often offers flexible remote work options and requires attention to detail but typically has lower barriers to entry and limited career advancement without additional skills or certifications.

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

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

What are popular job titles related to Data Labeler Remote jobs in Minneapolis, MN?

For Data Labeler Remote jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Data Labeler Remote jobs in Minneapolis, MN look for?

The top searched job categories for Data Labeler Remote jobs in Minneapolis, MN are:

Data Labeler Remote jobs near you
Infographic showing various Data Labeler Remote job openings in Minneapolis, MN as of August 2026, with employment types broken down into 42% Full Time, and 58% Part Time. Highlights an 100% Remote job distribution, with an average salary of $83,984 per year, or $40.4 per hour.

Epic Willow Inpatient Analyst

INTERACTION 24 LLC

Eden Prairie, MN • Remote

$60 - $80/hr

Full-time

Re-posted 27 days ago

Job description

Job Title: Certified Epic Willow Anlayst
Work Type: 100% remote
Work Duration: 1 Year Contract
TOP HARD SKILLS
• Must have Epic Willow Certification 
• Epic Willow Inpatient Build & Configuration (4+ years)
• Inpatient Pharmacy Operations / CPOE Workflow Knowledge (4+ years)
• Application Support Operations & SLA Management (4+ years)
NICE-TO-HAVES
• Additional Epic Certifications (Ambulatory, Home Infusion, Bugsy)
• Offshore Team Coordination Experience
• Healthcare IT Consulting or Large Health System Background
DISQUALIFIERS
• Missing active, current Epic Willow Inpatient certification.
• Less than 4 years of experience in Epic application management.
POSITION OVERVIEW
We are seeking a skilled and experienced Epic Willow Inpatient Analyst to join our Healthcare
IT team. This role serves as a subject matter expert (SME) for inpatient pharmacy application
workflows and configurations, supporting the delivery of high-quality Epic EHR solutions in a
dynamic healthcare environment. The successful candidate will bring 4+ years of experience in
Epic application management, with a strong track record in day-to-day operations, client
stakeholder engagement, and collaboration with cross-functional and offshore teams.
DAY-TO-DAY RESPONSIBILITIES
• Act as the primary subject matter expert (SME) for Epic Willow Inpatient application
workflows and configurations.
• Manage and prioritize daily support and maintenance activities, ensuring timely
resolution of incidents and service requests per defined SLAs.
• Monitor and manage error queues, label and printer issues, and pharmacy automation
interfaces.
• Troubleshoot and resolve issues with dispensing cabinet/robot interfaces, including ID
mapping, and perform root cause analysis on application issues.
• Build and maintain inpatient pharmacy configurations within the Epic EHR environment,
including medication order sets, formulary setup, dose checking rules, NDC billing
builds, pharmacy charge maps, and 340b billing workflows.
• Develop and maintain BPA/OPA alert builds to support clinical decision-making, manage
medication loads (Medispan), and support medication build activities (IV mixtures,
compounding, and repackaging).
• Serve as a liaison with client stakeholders (hospital pharmacists, pharmacy operations,
nurses, and physicians) and coordinate activities across Accenture, software vendors, and
offshore support teams.
• Maintain comprehensive system documentation (workflows, build specifications, testing
protocols) and ensure compliance with HIPAA, data governance, and medication safety
standards.
ADDITIONAL DESIRED SKILLS
• Additional Epic Certifications (Ambulatory, Home Infusion, or Bugsy)
• Offshore Team Coordination Experience
• Healthcare IT Consulting or Large Health System Background
• Pharmacy automation integration (dispensing cabinets, robot interfaces)

This is a remote position.