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Freelance Data Jobs in Minnesota (NOW HIRING)

Freelance · Language: English(United States) · Location: · Estimated volume: 8 - 10 hours · Start date: The project runs on a weekly basis. · Pay Rate: US$20.3 per hour

New

Freelance · Hourly rate: US$20.30 · Language: English (US) · Location: Remote · Estimated volume: 8 - 10 hours · Start date: The project runs on a weekly basis. Eligible candidates will be added ...

MN · On-site

$23 - $26/hr

Freelance / Independent Contractor (1099) About ThirdChannel ThirdChannel matches passionate ... real-time data and photos. Qualifications * Friendly, engaging personality with excellent ...

MN · On-site

$23 - $26/hr

Freelance / Independent Contractor (1099) About ThirdChannel ThirdChannel matches passionate ... real-time data and photos. Qualifications * Friendly, engaging personality with excellent ...

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Freelance Data information

See Minnesota salary details

$14

$46

$129

How much do freelance data jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for freelance data in Minnesota is $46.72, according to ZipRecruiter salary data. Most workers in this role earn between $23.80 and $60.53 per hour, depending on experience, location, and employer.

What is a freelance data analyst?

A Freelance Data Analyst is an independent professional who works on a contract basis to help organizations collect, process, and interpret data. They analyze data sets to uncover trends, generate insights, and support decision-making without being tied to a single employer. Freelance Data Analysts often work with multiple clients, offering flexibility and a wide range of experience across industries. Their responsibilities can include data cleaning, visualization, reporting, and sometimes creating predictive models. This role is ideal for those who enjoy working independently and have strong analytical and technical skills.

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

To thrive as a Freelance Data Analyst, you need strong analytical skills, proficiency with data manipulation, and a background in statistics or a related field, often supported by a degree or relevant work experience. Familiarity with tools like Excel, SQL, Python or R, and data visualization platforms such as Tableau or Power BI is typically required. Excellent communication, time management, and client relationship skills help you stand out when managing multiple projects independently. These abilities are crucial for delivering actionable insights, meeting client expectations, and building a successful freelance business.

How do freelance data professionals typically manage multiple client projects and deadlines?

Freelance data professionals often juggle several projects simultaneously, requiring strong organizational and time management skills. They usually use project management tools and clear communication to set expectations with clients regarding deliverables and timelines. Prioritizing tasks, setting realistic deadlines, and maintaining transparent updates with clients help freelancers avoid overcommitment and ensure high-quality work. Building routines and occasionally collaborating with other freelancers or subcontractors can also help distribute the workload effectively.

What is the difference between Freelance Data vs Data Analyst?

AspectFreelance DataData Analyst
CredentialsVaries; often self-taught or with online coursesTypically requires a degree in data science, statistics, or related fields
Work EnvironmentRemote, flexible, project-basedUsually in an office or corporate setting, but can be remote
Employer & Industry UsageClients across various industries, independentOrganizations, companies, or departments within industries
Common Search & ComparisonFreelance Data vs Data Analyst

Freelance Data professionals often work independently on diverse projects, with flexible credentials and remote work setups. Data Analysts typically have formal education and work within organizations, focusing on analyzing data to inform business decisions. Both roles involve data handling but differ mainly in employment structure and credentials.

What are the most commonly searched types of Data jobs in Minnesota?

The most popular types of Data jobs in Minnesota are:

What cities in Minnesota are hiring for Freelance Data jobs?

Cities in Minnesota with the most Freelance Data job openings:

Infographic showing various Freelance Data job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 9% Part Time, and 6% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $97,187 per year, or $46.7 per hour.

English Maps Trainer

Minneapolis, MN

Welo Data
Data Services • 1 - 5K employees

$20.30/hr

Part-time

Posted 3 days ago

New


Job description

What if your knowledge English language could help improve the AI.  
   

WHAT YOU’LL DO  

  • Review search queries with results personalized based on your activity history
  • Evaluate suggested places (e.g., restaurants or locations) related to places you’ve previously visited
  • Rate whether the suggested places are relevant and useful
  • Follow project guidelines and complete tasks accurately
     

YOU ARE A FIT IF YOU…  

·       Are located and have the right to work in United States.

·       Have An existing, actively used Gmail account with prior usage history on Google Maps.

·       Notice when recommendations actually make sense

·       Think critically about usefulness, intent, and context

·       Care about accuracy in digital experiences

PROJECT DETAILS  

·       Job Title: Maps Personalization Relevance Rater - English (United States)

·       Contract type: Freelance

·       Language: English(United States)

·       Location:

·       Estimated volume: 8 - 10 hours

·       Start date: The project runs on a weekly basis. 

·       Pay Rate: US$20.3 per hour


Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.