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Remote Data Labeling Analyst Jobs in Minneapolis, MN

Remote Required Skills & Experience: * 3+ years of experience as a Data Analyst at a health insurance company * Payer domain expertise in claims data- Understands how the data is used on the backend ...

Data Analyst

Minneapolis, MN · On-site +1

$32.92 - $45.12/hr

Hybrid remote position Supports a variety of data analysis, project management, and quality analysis activities to improve the clinical quality, measurement strategy, and operational efficiency.

Data Analyst I

Bloomington, MN · Remote

$24.83 - $28.65/hr

This position is remote in Minnesota and will need to be within a commutable distance to Minneapolis. Data Analyst I Essential Functions * Process report or data requests from various departments ...

Data Analyst III

Minneapolis, MN · On-site +1

$52K - $101K/yr

The Business Analyst 3 provides advanced support for assigned business process and/or system within ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Payroll Analyst

Hopkins, MN · Remote

$30 - $35/hr

In this fully remote role, you will help maintain accurate payroll data, review timekeeping records ... Extract, analyze, and reconcile payroll and timekeeping data from HRIS and payroll platforms to ...

New

Planning Analyst

Saint Paul, MN · On-site +1

$80K - $120K/yr

Hazelwood Professional Center, MN Job Type: Full Time Remote Employment: Flexible/Hybrid Job Number ... A background in environmental health, waste management, or data analysis is highly valued, along ...

Performs custom analysis. Uses modelling to drive business results with data-based insights and ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

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Remote Data Labeling Analyst information

See Minneapolis, MN salary details

$35.5K

$86.3K

$142K

How much do remote data labeling analyst jobs pay per year?

As of Aug 29, 2026, the average yearly pay for remote data labeling analyst in Minneapolis, MN is $86,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $101,200.00 per year, depending on experience, location, and employer.

What does a remote data labeling analyst do?

A Remote Data Labeling Analyst is responsible for reviewing, tagging, and annotating data—such as images, videos, text, or audio—to help train machine learning models. Working remotely, they use specialized software to classify or categorize this data according to specific guidelines. Their work is crucial for improving the accuracy and performance of artificial intelligence systems, as well-labeled data enables the AI to learn and make better predictions. This role typically requires attention to detail, consistency, and the ability to follow complex instructions.

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

To thrive as a Remote Data Labeling Analyst, you need strong attention to detail, analytical thinking, and basic data management skills, typically supported by a high school diploma or higher. Familiarity with annotation tools, data labeling platforms, and sometimes basic programming or spreadsheet software is required. Strong communication, time management, and the ability to work independently are crucial soft skills for excelling remotely. These abilities ensure high-quality, accurate data labeling that directly impacts the effectiveness of AI and machine learning systems.

What are some common challenges faced by remote data labeling analysts, and how can they be addressed?

Remote Data Labeling Analysts often encounter challenges such as maintaining focus during repetitive tasks, managing time effectively across multiple projects, and ensuring high accuracy in labeling complex data sets. To address these challenges, it is helpful to follow structured workflows, take regular breaks to reduce fatigue, and leverage collaboration tools to communicate with team members for clarification or feedback. Staying updated with labeling guidelines and participating in regular training sessions can also help improve both productivity and quality of work.

What is the difference between Remote Data Labeling Analyst vs Remote Data Annotator?

AspectRemote Data Labeling AnalystRemote Data Annotator
CredentialsBasic data labeling skills, familiarity with annotation toolsSimilar credentials, often entry-level
Work EnvironmentRemote, often part of a data teamRemote, typically individual tasks
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI training data preparation
Job FocusLabeling and categorizing data for machine learningAnnotating data with labels or tags

The Remote Data Labeling Analyst and Remote Data Annotator roles are similar, both involving data labeling tasks in a remote setting. The Analyst may have additional responsibilities like quality checks or data management, but both positions require similar skills and are used widely in AI and machine learning industries.

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

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

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

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

Infographic showing various Remote Data Labeling Analyst job openings in Minneapolis, MN as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 88% Full Time, 5% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $86,260 per year, or $41.5 per hour.

Claims Data Analyst

Insight Global

Bloomington, MN • Remote

$60 - $70/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 7 days ago


Job description

Claims Data Analyst

Location: Remote


Required Skills & Experience:

  • 3+ years of experience as a Data Analyst at a health insurance company
  • Payer domain expertise in claims data- Understands how the data is used on the backend to inform what data is needed
  • Expertise in SQL
  • Strong communication and stakeholder partnership skills- Ability to work directly with business partners and explain data clearly, to tell stories with data/communicate findings to both technical and non-technical audiences



Nice to Have Skills & Experience:

  • Interoperability/FHIR is a big plus!
  • Working Azure Databricks experience
  • Exposure to agile/scrum (including tools like JIRA)
  • Relevant certifications (Azure Databricks, Python, Cloud, etc)



Job Description:

Insight Global is hiring a Data Analyst to support an Interoperability Product Team at a large non-profit payer/provider. This role will utilize SQL to find what data to pull, how to pull it, and then provide said data to the developers in charge of the FHIR APIs that will expose the data externally.