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Full Time Remote Data Modeler Jobs in Fargo, ND (NOW HIRING)

... models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing)

... models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing)

Entry Level Remote Insurance Sales

Fargo, ND ยท Remote

$1.5K - $3.2K/wk

... * Full-time: typically $80,000-$120,000 once established; top performers earn well beyond that ... Access to 60+ insurance carriers -- independent model, never tied to one company * A step-by-step ...

... * Full-time: typically $80,000-$120,000 once established; top performers earn well beyond that ... Access to 60+ insurance carriers -- independent model, never tied to one company * A step-by-step ...

Entry Level Remote Sales Role

Fargo, ND ยท Remote

$1.5K - $5.3K/wk

... * Full-time agents typically earn $80,000 to $120,000 once established; top performers earn ... Access to products from 60-plus insurance carriers -- independent model, never limited to one ...

Entry Level Remote Sales Role

Moorhead, MN ยท Remote

$1.5K - $5.3K/wk

... * Full-time agents typically earn $80,000 to $120,000 once established; top performers earn ... Access to products from 60-plus insurance carriers -- independent model, never limited to one ...

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Full Time Remote Data Modeler information

See Fargo, ND salary details

$10

$57

$81

How much do full time remote data modeler jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for full time remote data modeler in Fargo, ND is $57.65, according to ZipRecruiter salary data. Most workers in this role earn between $51.68 and $67.02 per hour, depending on experience, location, and employer.

What is a full time remote data modeler?

Full Time Remote Data Modelers are professionals who design, create, and maintain data models for organizations while working from a remote location. Their main responsibility is to structure and organize data so it can be efficiently stored, accessed, and analyzed, often collaborating with data engineers, analysts, and other IT staff. Working full time means they typically work a standard 40-hour week, and since the role is remote, all communication and collaboration are done virtually. These professionals are essential for organizations that rely heavily on data-driven decision making and need robust data infrastructure. They often use tools like ERwin, SQL, or PowerDesigner and are skilled in database management and programming.

What are the key skills and qualifications needed to thrive as a full time remote data modeler?

To thrive as a Full Time Remote Data Modeler, you need expertise in database design, data modeling concepts (such as ER diagrams and normalization), and a degree in computer science or a related field. Familiarity with data modeling tools (like ER/Studio, Erwin, or SQL-based platforms) and experience with cloud databases are commonly required. Strong analytical thinking, attention to detail, and effective remote communication skills help you excel in collaborating with distributed teams. These skills are crucial for ensuring accurate data structures, efficient data flow, and seamless integration in complex, remote-driven projects.

How do full time remote data modelers typically collaborate with distributed teams to ensure data consistency and project alignment?

Full Time Remote Data Modelers usually work closely with other data professionals, such as data engineers, analysts, and business stakeholders, using collaborative tools like shared documentation, version control systems, and virtual meetings. Clear communication and regular sync-ups are essential to ensure everyone understands the data models and that standards are consistently applied across projects. These professionals often participate in daily stand-ups, design reviews, and cross-functional team discussions to address challenges, clarify requirements, and maintain alignment with business goals. Remote work requires proactive communication and a disciplined approach to documentation to avoid misinterpretations and ensure data integrity.

What is the difference between Full Time Remote Data Modeler vs Full Time Remote Data Analyst?

AspectFull Time Remote Data ModelerFull Time Remote Data Analyst
Primary RoleDesigns and develops data models and database structuresAnalyzes data to generate reports and insights
Required SkillsData modeling, database design, SQL, data warehousingData analysis, visualization, SQL, statistical tools
Work EnvironmentRemote, often collaborating with data engineers and architectsRemote, working with business teams and stakeholders
Common CertificationsCDMP, CBIP, Microsoft Certified Data AnalystMicrosoft Certified Data Analyst, SAS, Tableau certifications

While both roles work remotely and require SQL and data skills, a Full Time Remote Data Modeler focuses on designing data structures, whereas a Full Time Remote Data Analyst interprets data to support business decisions. They complement each other but serve different functions within data teams.

What job categories do people searching Full Time Remote Data Modeler jobs in Fargo, ND look for?

The top searched job categories for Full Time Remote Data Modeler jobs in Fargo, ND are:

Infographic showing various Full Time Remote Data Modeler job openings in Fargo, ND as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $119,903 per year, or $57.6 per hour.

AI/ML Data Contributor

Fargo, ND โ€ข Remote

Full-time

Re-posted 4 days ago


Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.