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Data Labeling Jobs in Minnesota (NOW HIRING)

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 ...

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 ...

Labeling Coordinator 3

Maple Grove, MN · On-site

$54K - $81K/yr

Manage Labeling data collection activities and provide requested reports. Maintain labeling project documentation, plans and reports. Provide general administrative back-up as required. Provide ...

Labeling Coordinator 3

Maple Grove, MN · On-site

$54K - $81K/yr

Manage Labeling data collection activities and provide requested reports. Maintain labeling project documentation, plans and reports. Provide general administrative back-up as required. Provide ...

Support basic semantic labeling or categorization efforts that improve AI retrieval and reasoning ... Help ensure data included in AI retrieval scenarios is appropriate, governed, and up to date.

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced DLP policies/integrations, Purview DSPM, data lifecycle/retention controls). Perform threat mapping ...

Data Center Logistics Specialist I Role Purpose : Perform logistics duties within a data center ... Prepares hardware before deployment, including labeling, configuration, and quality checks

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Data Labeling information

See Minnesota salary details

$10

$23

$56

How much do data labeling jobs pay per hour?

As of Jul 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 are the key skills and qualifications needed to thrive in the Data Labeling position, 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.

What is a Data Labeling job?

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 is the job description of data labeling?

Data labeling involves annotating or tagging data such as images, text, or videos to help machine learning models understand and learn from the data. The role requires attention to detail, familiarity with labeling tools, and adherence to guidelines to ensure high-quality annotations. It is often performed remotely and may involve repetitive tasks with flexible schedules.

How much are data labelers paid?

Data labelers typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Many positions are freelance or remote, with pay rates varying across platforms and employers.

How do I become a data labeler?

To become a data labeler, you typically need basic computer skills, attention to detail, and the ability to follow instructions. Many positions require no formal degree and offer flexible, part-time schedules; familiarity with data annotation tools or platforms is often helpful. Applying through online job boards or company websites is common for entry-level roles.

Is data labelling a good career?

Data labeling is a common entry-level role in data annotation and machine learning workflows, often requiring attention to detail and basic computer skills. It can provide opportunities to develop skills in data management and AI, but typically offers lower pay and limited advancement without additional training or experience.
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:
Infographic showing various Data Labeling job openings in Minnesota as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $49,534 per year, or $23.8 per hour.
Labeling Specialist

Contractor

Re-posted 12 days ago


Job description

Company Description

About Collabera

Collabera is ranked amongst the top 10 Information Technology (IT) staffing firms in the U.S., with more than $525 million in sales revenue and a global presence that represents approximately 12,000+ professionals across North America (U.S., Canada), Asia Pacific (India, Philippines, Singapore, Malaysia), and Europe (Ireland, Netherlands, Poland, United Kingdom). We support our clients with a strong recruitment model and a sincere commitment to their success, which is why more than 75% of our clients rank us amongst their top three staffing suppliers.

Not only are we committed to meeting and exceeding our customer's needs, but also are committed to our employees' satisfaction as well. We believe our employees are the cornerstone of our success and we make every effort to ensure their satisfaction throughout their tenure with Collabera. As a result of these efforts, we have been recognized by Staffing Industry Analysts (SIA) as the "Best Staffing Firm to Work For" for five consecutive years since 2012. Collabera has over 50 offices across the globe with a presence in ten countries and provides staff augmentation, managed services and direct placement services to global 2000 corporations.

For consultants and employees, Collabera offers an enriching experience that promotes career growth and lifelong learning. Visit www.collabera.com to learn more about our latest job openings.

Awards and Recognitions

--Staffing Industry Analysts: Best Staffing Firm to Work For (2016, 2015, 2014, 2013, 2012)

--Staffing Industry Analysts: Largest U.S. Staffing Firms (2016, 2015, 2014, 2013)

--Staffing Industry Analysts: Largest Minority Owned IT Staffing Firm in the US.

Job Description

Labeling Specialist: This position will be a subject matter expert in Medical Device labeling regulations and standards.

They will be responsible for planning, development and execution of
product labeling for Medtronic Structural Heart Businesses by coordinating and
communicating across functions, as well as across multiple US and international
sites. Key responsibilities include project planning, leading the development
of technical labeling content and navigating the QMS, PDP and PLM workflows to
execute labeling.
Responsibilities:
Plans projects and manages scope, deliverables and timelines using project
management tools, managing communication with stakeholders and managing project
teams to keep deliverables aligned with business objectives and priorities.
Effectively engages with the project team and seeks out support when
appropriate
Fosters a collaborative environment. Gains support and cooperation for ideas,
proposals, projects and solutions to accomplish goals
Is a subject matter expert of labeling regulations and standards
Understands all procedures impacting the design and development of product
labeling
Able to translate customer needs into labeling requirements
Develops and executes labeling documentation and labeling per business
processes and policies
Continuously builds knowledge, keeping up-to-date on the technical or
procedural aspects of the job
Takes into account cause and effect relationships when making decisions.
Aligns one's objectives with the Packaging and Labeling and business strategies
in order to make the best possible judgments. Familiar with continuous
improvement tools such as DMAIC/A3 and root cause
Writes effectively, gathers and compiles data and translates it into easily
understandable documents,
Utilize good documentation practices (i.e. revision control, red lining,
Agile release)

Qualifications

Experience working on multi-disciplinary teams and projects.
Highly detail oriented
Experience working with project management tools, adobe acrobat pro, MS
Office Tools, PLM systems and ERP systems.
Experience with medical device regulations and standards
BS or BA in related fields.

Additional Information

To know more about this opportunity, please contact:

Sagar Rathore

sagar.rathore(at)collabera.com
630-485-2166