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Full Time Machine Learning Data Annotation Jobs in Minneapolis, MN

Tennant Company seeks a full-time Machine Learning Engineer based in Golden Valley, MN. Responsible for utilizing experience in emerging technologies such as Cloud computing, Big Data, Deep Machine ...

Machine learning experience using visual data * Understanding of a variety of machine learning ... Some travel is required, typically 5-25% * Full-time on-site work at the Kitware Office Preferred ...

Machine learning experience using visual data * Understanding of a variety of machine learning ... Some travel is required, typically 5-25% * Full-time on-site work at the Kitware Office Preferred ...

Machine learning experience using visual data * Understanding of a variety of machine learning ... Some travel is required, typically 5-25% * Full-time on-site work at the Kitware Office Preferred ...

Senior Machine Learning Engineer

Minneapolis, MN · On-site

$109K - $149K/yr

As a Senior Machine Learning Engineer, you will design, develop, test, document, deploy, and ... Required : • Bachelor's degree in Computer Science, Electrical Engineering, Data Science, or a ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

In this role, you'll collaborate with Data Scientists to design and deploy intelligent ... Certain roles may require in-office presence on a full-time basis. Please work with your recruiter ...

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Full Time Machine Learning Data Annotation information

See Minneapolis, MN salary details

$39.1K

$128.1K

$205.1K

How much do full time machine learning data annotation jobs pay per year?

As of Jul 26, 2026, the average yearly pay for full time machine learning data annotation in Minneapolis, MN is $128,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,800.00 and $142,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Machine Learning Data Annotation Specialist, and why are they important?

To thrive as a Full Time Machine Learning Data Annotation Specialist, you need strong attention to detail, basic data literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency in specialized annotation platforms, spreadsheet tools, and sometimes knowledge of Python or labeling frameworks is typically required. Reliability, patience, and effective communication are valuable soft skills for ensuring accuracy and collaborating with team members. These skills and qualities are crucial because they directly impact the quality of training data, which is essential for developing effective machine learning models.

What are Full Time Machine Learning Data Annotation jobs?

Full time machine learning data annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Data annotators play a crucial role in ensuring that AI systems learn from high-quality, accurately labeled datasets. These positions often require attention to detail, consistency, and sometimes familiarity with the subject matter or specialized tools. Full-time roles may be remote or onsite and can span industries like autonomous vehicles, healthcare, retail, and more.

What are some common challenges faced by machine learning data annotators, and how are these typically addressed within a team?

Machine learning data annotators often encounter challenges such as maintaining consistency in labeling, handling ambiguous data, and meeting tight deadlines for large datasets. Teams usually address these by establishing clear annotation guidelines, conducting regular training sessions, and implementing quality assurance processes like peer reviews and spot checks. Collaboration with data scientists and project managers is also common, ensuring that annotators can ask questions and clarify uncertainties, leading to higher-quality labeled data and a supportive work environment.

What is the difference between Full Time Machine Learning Data Annotation vs Data Labeling Specialist?

AspectFull Time Machine Learning Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; some roles prefer technical certificationsHigh school diploma or equivalent; training often provided on the job
Work EnvironmentOffice or remote; collaborative with data science teamsRemote or office; focused on labeling tasks
Industry UsageUsed across AI/ML companies, tech firms, and startupsCommon in AI/ML, data services, and outsourcing companies
Job FocusCreating labeled datasets for machine learning modelsAnnotating data such as images, videos, or text for AI training

Full Time Machine Learning Data Annotation involves creating high-quality labeled datasets for AI models, often requiring technical understanding. Data Labeling Specialists focus on annotating data accurately, typically with less emphasis on technical skills. Both roles are essential in AI development but differ mainly in scope and technical complexity.

What are the most commonly searched types of Machine Learning Data Annotation jobs in Minneapolis, MN? The most popular types of Machine Learning Data Annotation jobs in Minneapolis, MN are:
What are popular job titles related to Full Time Machine Learning Data Annotation jobs in Minneapolis, MN? For Full Time Machine Learning Data Annotation jobs in Minneapolis, MN, the most frequently searched job titles are:
What job categories do people searching Full Time Machine Learning Data Annotation jobs in Minneapolis, MN look for? The top searched job categories for Full Time Machine Learning Data Annotation jobs in Minneapolis, MN are:
Machine Learning Engineer

Machine Learning Engineer

Tennant Company

Golden Valley, MN • Hybrid

$119K - $122K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Tennant Company rating

7.8

Company rating: 7.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

206th of 485 rated machine equipment manufacturers


Job description

With more than $1B in revenue, Tennant Company is a globally recognized leader in the cleaning equipment industry. For the past 150 years, we have been passionate about developing and manufacturing innovative and sustainable solutions for our customers. At Tennant Company, we are committed to stewardship and creating a cleaner, safer and healthier world. With manufacturing, operations and sales, service, and support functions across the globe, your journey at Tennant can take you places you never expected.

Tennant Company seeks a full-time Machine Learning Engineer based in Golden Valley, MN. Responsible for utilizing experience in emerging technologies such as Cloud computing, Big Data, Deep Machine Learning, and AI. Participates and leads phases of the data science process, from data exploration and processing, feature selection and engineering, model training and testing, and information synthesis. Req: Master’s degree or equivalent in Computer Science, Data Science, Robotics, Statistics, or a related field and one (1) year of related software development experience. Must also have demonstrated experience with each of the following: 1) Utilizing experience in emerging technologies such as Cloud computing, Big Data, Deep Machine Learning, and AI, and partnering with internal stakeholders to understand business needs, capture requirements, identify and prepare key data sources, develop and deploy data driven ML solutions targeting specific business challenges. 2) Developing and maintaining NLP (Natural Language Processing) multi-class classification and predictive maintenance models. 3) Implementing knowledge of ML techniques/algorithms, including linear models, neural networks, decision trees, Bayesian techniques, clustering, and anomaly detection. 4) Working with cloud-based platforms (Azure or AWS), and Machine learning/Artificial Intelligence services such as Azure ML or AWS SageMaker. 5) Providing deep insights from business data using Power BI, Tableau or similar business intelligence tools. 6) Utilizing the following tools and technologies: Azure AI Foundry, Apache Hadoop, Spark, Kafka, HBase, Hive, Storm and managed services such as Azure HDInsight, Databricks and Azure Datafactory. All experience may have been gained concurrently. Experience may have been acquired before, during, or after completion of the Master‘s degree program. This is a hybrid role with required 3 days onsite. Salary: $119,642 - $122,600/year. Please apply online at https://jobs.tennantco.com/. Benefits = A comprehensive benefits package including health insurance, 401(k), disability, life insurance, paid time off, and voluntary benefits!

Total Compensation = Pay range + Benefits

Posted salary ranges are made in good faith. Tennant Sales and Service Co. reserves the right to adjust ranges depending on the experience/qualifications of the selected candidate as well as internal and external equity.  The salary range reflects both entry into the role and future growth. Total Compensation = Base Salary + Benefits

Benefits = A comprehensive benefits package including multiple medical plan options, 401(k) with a 100% match up to 6%, paid vacation time, up to 8 paid company holidays and 3 personal holidays per year, dental and vision coverage, wellness rewards, robust family support programs, company‑paid disability and life insurance, and a full Employee Assistance Program.

Defining Our Employee Value Proposition   

At Tennant Company, we…  

Discover fulfilling work with opportunities for growth and meaningful recognition. 

Drive the quality and innovation our customers rely on in our products and services. 

Connect with people who care about each other, our brands and our communities.

These are the principles that define how our employees experience Tennant Company, make Tennant a great place to grow your career, and are at the core of our legacy and future. Together, they serve as guideposts for working with our customers, our partners and one another.

Begin your journey with us. Let's reinvent how the world cleans.  

Equal Opportunity Employer

Tennant Company is an equal opportunity employer. Employment decisions are made on the basis of individual skill, ability, reliability, productivity, and other factors important to performance. We do not discriminate on the basis of race, color, creed, religion, sex, national origin, physical or mental disability, age, veteran status, pregnancy, sexual orientation, genetic information, gender identity, or any other basis protected by state or federal law or local ordinance.


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