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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 ...

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

Experience with artificial intelligence (AI) and generative AI data readiness, including data scoping, bias detection, data labeling, and regulated or ethical AI considerations * Experience ...

Basic understanding of data classification/labeling, DLP policies and rules, and regulatory concepts (e.g., GDPR, HIPAA - awareness level). * PowerShell scripting or automation exposure is a plus.

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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 Jun 16, 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 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, and may be performed remotely or in a controlled environment.

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. Some positions may offer freelance or project-based pay, with rates varying accordingly.

Is data labeling hard?

Data labeling can be challenging depending on the complexity of the data and the accuracy required. It often involves attention to detail, understanding of the data context, and sometimes the use of labeling tools or software. The difficulty varies based on the project and the level of expertise needed.

Is data labelling a good career?

Data labeling is a foundational role in machine learning and AI development, involving annotating data to improve model accuracy. It often requires attention to detail, basic technical skills, and can offer flexible schedules, but typically has lower entry barriers and pay compared to more advanced tech roles.
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 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 June 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $49,534 per year, or $23.8 per hour.
Food Labeling Specialist

Food Labeling Specialist

Conflux Systems

Minneapolis, MN • On-site

Part-time

This job post has expired today. Applications are no longer accepted.


Job description

Seeking a flexible, part-time Labeling Specialist to support food safety and quality initiatives. This role requires expertise in package labeling within consumer packaged goods, preferably human or pet food. Candidates will work 16-24 hours/week during first-shift hours with a remote option available. The role focuses on ensuring regulatory compliance, labeling accuracy, and cross-functional collaboration.
Responsibilities:
  • Interpret and apply FDA and USDA labeling regulations and internal policies
  • Develop and maintain accurate food labeling data including allergens, nutrition facts, ingredient statements, and claims
  • Review and approve packaging artwork, graphics, and label content for compliance and accuracy
  • Collaborate with R&D, Quality, and Operations teams on labeling projects
  • Ensure compliance with third-party certifications (Non-GMO, GFCO) and regional regulations
  • Prepare and submit regulatory documentation and support audits
  • Manage labeling-related risks including regulatory, food safety, and brand compliance
  • Support responses to consumer and customer labeling inquiries

Qualifications:
  • Bachelor's degree in Food Science, Nutrition, or related field
  • 3+ years of experience in food labeling or regulatory compliance
  • Strong knowledge of FDA/USDA regulations and CPG labeling standards
  • Proficiency in labeling systems, databases, and MS Office tools
  • Experience with artwork review and packaging compliance processes
  • Strong analytical, problem-solving, and multitasking skills
  • Ability to manage multiple projects and meet deadlines in a fast-paced environment
  • Excellent communication and cross-functional collaboration skills