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Data Labeling Jobs in Minnesota (NOW HIRING)

Teleflex

Labeling Specialist

Maple Grove, MN · On-site

They will manage labeling data, maintain project documentation, and provide administrative and project support to the team. Additionally, they will apply advanced project management expertise ...

Teleflex

Labeling Specialist

Maple Grove, MN · On-site

They will manage labeling data, maintain project documentation, and provide administrative and project support to the team. Additionally, they will apply advanced project management expertise ...

Collabera

Labeling Specialist

Moundsview, MN · On-site

Labeling Specialist: This position will be a subject matter expert in Medical Device labeling ... and compiles data and translates it into easily understandable documents, Utilize good ...

Collabera

Labeling Specialist

Moundsview, MN

Labeling Specialist: This position will be a subject matter expert in Medical Device labeling ... and compiles data and translates it into easily understandable documents, Utilize good ...

Abbott

Database Architect

Little Canada, MN · On-site

$61.50 - $79/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 ...

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 ...

MCC

Account Manager - Packaging/Labeling

Winona, MN · On-site

Enter and manage data accurately within the company's CRM or other sales management systems ... Our labels elevate emotional connections with consumers and help brands stand out in competitive ...

CCI Systems, Inc.

Data Center Technicians

Duluth, MN · On-site

Support structured cabling builds including routing, labeling, and cable management standards. * Execute work in live data center environments, adhering to change control and maintenance windows.

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How much do data labeling jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for data labeling in Minnesota is $23.81, according to ZipRecruiter salary data. Most workers in this role earn between $15.65 and $27.33 per hour, depending on experience, location, and employer.

What is data labeling?

A Data Labeling job involves annotating or tagging data, such as images, text, audio, or videos, to help train machine learning models. Labelers follow specific guidelines to classify data accurately so that AI systems can learn patterns and make predictions. This role is essential in fields like computer vision, natural language processing, and speech recognition. Strong attention to detail and consistency are crucial for ensuring high-quality training datasets.

What are the typical day-to-day responsibilities of a data labeling professional?

A Data Labeling professional is primarily responsible for reviewing and accurately tagging images, text, audio, or video data according to specified guidelines. Daily tasks often include managing large datasets, using annotation software to classify data, and verifying the quality and accuracy of the labels. Collaboration with data scientists, project managers, and other annotators is common, especially when clarifying labeling guidelines or resolving ambiguities. Attention to detail is crucial, as high-quality labeled data directly impacts the effectiveness of machine learning models and AI applications. Most positions are structured in team environments, where productivity and communication skills help ensure project deadlines are met.

What are the key skills and qualifications needed to thrive in data labeling, and why are they important?

To thrive in Data Labeling, you need meticulous attention to detail, strong analytical abilities, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data annotation tools, image or text editing software, and experience with platforms like Labelbox or Amazon SageMaker Ground Truth are commonly advantageous. Exceptional concentration, patience, and the ability to follow precise instructions are valuable soft skills in this position. These skills and qualities are essential for ensuring the accuracy and consistency of labeled datasets, which are critical for training reliable AI and machine learning models.

How can I get started in data labeling?

To get started in data labeling, you should develop basic skills in data annotation tools and understand labeling guidelines for different data types such as images, text, or audio. Many entry-level positions require attention to detail and sometimes a background in relevant fields like computer science or linguistics; online courses and practice datasets can help build your skills. Additionally, creating a strong profile on job platforms and applying to companies that offer remote or flexible data labeling roles can increase your chances of starting in this field.

How much do data labelers make?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or employer. Some may work as freelancers or part-time, with pay rates varying accordingly.

Is data labeling a good career?

Data labeling is a growing field that involves annotating data for machine learning models, often requiring attention to detail and familiarity with tools like labeling platforms. It can offer flexible schedules and entry-level opportunities, but typically provides lower pay compared to other tech roles and may lack long-term career advancement without additional skills. Overall, it can be a suitable starting point for those interested in AI and data science, but may not be ideal as a long-term career without further development.

What are data labeling jobs?

Data labeling jobs involve annotating or tagging data such as images, text, or videos to help train machine learning models. These roles typically require attention to detail and familiarity with labeling tools or software, and may be performed remotely or in a team environment.

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

The most popular types of Data Labeling jobs in Minnesota are:

What are popular job titles related to Data Labeling jobs in Minnesota?

For Data Labeling jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Data Labeling jobs in Minnesota look for?

The top searched job categories for Data Labeling jobs in Minnesota are:

What cities in Minnesota are hiring for Data Labeling jobs?

Cities in Minnesota with the most Data Labeling job openings:

Data Labeling jobs near you
Infographic showing various Data Labeling job openings in Minnesota as of September 2026, with employment types broken down into 62% Full Time, 25% Contract, and 13% Nights. Highlights an 100% In-person job distribution, with an average salary of $49,534 per year, or $23.8 per hour.

Food Production Data & Labeling Coordinator

Eagan, MN • On-site

MADONE INC
See more jobs at MADONE INCexternal

Full-time

Posted 10 days ago

Job description

Summary: This employee is responsible for setting up data entry in the tag making program, for precise labelling for food prepping. Create daily labels and checklists with precision, to make sure every program meal request is fulfilled, and every line cook receives the exact labels related to his/her line of work. 

Duties and Responsibilities include the following. Other duties may be assigned.

  1. Tags & Reports Making
    • Set up data related to clients, recipes and menus in the tag-making software to produce labels.
    • Create tags in a timely manner, ensuring precision to facilitate smooth food planning and preparation.
    • Create driver checklists to ensure the correct food is delivered as requested by the programs.
    • Communicate any changes in program food counts/other information to internal teams and ensure labels and driver checklists are updated.
    • Communicate prep totals with the Inventory and Procurement teams on time to aid forecasts in order.
    • Act as a backup for estimations process, when Logistics Manager is not available.
  2. Client and Field Manager Communication
    • Contact clients/field managers regarding any missing counts on the online ordering database.
    • Communicate effectively with customers, staff, and third-party vendors using a calm and respectful approach.
  3. Accuracy and Cross-Referencing
    • Cross-reference meal counts, portions, and third-party vendor orders with daily menus to ensure 100% accuracy.
    • Track program calendars to ensure proper counts are entered on the correct day.
  4. Third-Party Vendor Coordination
    • Determine the program’s pizza needs (or other food needs from third-party vendors) if specified by the menu and coordinate related information from clients.
    • Update pizza grid/third-party order grids based on clients’ needs and create pizza calendars to be sent monthly to the pizza vendor.
  5. Software and Program Updates
    • Revise, update/clean-up the information in tagging system as needed by logistical changes within the organization for better operations.
    • Maintain naming conventions of data in the tagging system for efficient retrieval of information.
  6. General Duties
    • Communicate effectively with customers and staff using a calm and respectful approach.
    • Meet deadlines, prioritize company assignments, and maintain professional composure under pressure and dynamic conditions.
    • Maintain high level of accuracy in data usage related to menu/recipe and tagging portions.
    • Perform other related duties and complete special projects as assigned.

Qualifications: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representation of the knowledge, skill, and ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Education/Experience: Two years related experience and/or training or equivalent combination of education and experience in data handling or math related field is necessary. Knowledge of databases and logical analytical skills is preferred. Prior knowledge in Food industry is preferred.

Language Ability: Ability to read and interpret documents such as rules, operating instructions, and manuals. Ability to write routine reports and correspondence. Ability to speak effectively before groups of customers or employees of organization. Excellent customer service support. Ability to work in a team environment.

Math Ability: Ability to calculate figures and amounts such as proportions and volume. Ability to apply concepts of basic addition, subtraction, division and some algebra. Attention to detail and accuracy is key.

Reasoning Ability: Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form. Ability to analyze using logical reasoning skills.

Computer Skills: To perform this job successfully, an individual should have knowledge of basic computer operating skills and Microsoft office products along with accurate data/database handling skills and logical analytical skills.

Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate. Indoor temperatures, in a standard office setting.

Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit and talk or listen. The employee is occasionally required to stand, walk; use hands and reach with hands and arms.