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Ml Data Associate Jobs in Minnesota (NOW HIRING)

Data Strategy-Manager

Minneapolis, MN · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

Data Governance- Manager

Minneapolis, MN · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

Lead Data Architect

Golden Valley, MN · On-site

$110K - $194K/yr

... ML platforms, and real-time data streaming technologies. * Azure certifications such as Azure Solutions Architect Expert, Azure Data Engineer Associate, or Databricks certifications. * Experience ...

... ML platforms, and real-time data streaming technologies. * Azure certifications such as Azure Solutions Architect Expert, Azure Data Engineer Associate, or Databricks certifications. * Experience ...

... ML platforms, and real-time data streaming technologies. * Azure certifications such as Azure Solutions Architect Expert, Azure Data Engineer Associate, or Databricks certifications. * Experience ...

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer/Data Analyst/ML - Proven leadership in data-driven strategies - Demonstrating ...

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Ml Data Associate information

See Minnesota salary details

$56.3K

$66.6K

$126.3K

How much do ml data associate jobs pay per year?

As of Sep 5, 2026, the average yearly pay for ml data associate in Minnesota is $66,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,800.00 and $58,300.00 per year, depending on experience, location, and employer.

What is an ml data associate?

ML Data Associates are professionals who support machine learning projects by preparing, labeling, and validating data used to train and evaluate algorithms. They often work with large datasets, ensuring data quality and accuracy, and may use specialized tools to annotate images, text, or audio. Their work is essential for enabling machine learning models to learn from high-quality, well-structured data, and they often collaborate with data scientists and engineers to optimize data pipelines.

What are the key skills and qualifications needed to thrive as an ml data associate?

To thrive as an ML Data Associate, you need strong analytical skills, attention to detail, and a solid understanding of data annotation or labeling, often supported by a degree in a technical field. Familiarity with data labeling tools, basic programming (such as Python), and experience working with machine learning platforms are typically required. Excellent communication, problem-solving abilities, and the capacity to work efficiently in teams are important soft skills. These skills ensure high-quality, accurately labeled datasets that are essential for training effective machine learning models.

What are some common challenges faced by ml data associates when labeling complex datasets, and how can they be effectively addressed?

ML Data Associates often encounter challenges with ambiguous data, inconsistent labeling guidelines, or rapidly evolving project requirements. To address these, it's important to maintain open communication with data scientists and project leads, ask clarifying questions, and participate in regular calibration sessions to ensure consistency. Utilizing annotation tools efficiently and staying up-to-date with best practices can also help manage complexity and improve label quality. Collaboration and feedback within the team are key to overcoming these challenges and ensuring high-quality datasets.

What is the difference between Ml Data Associate vs Data Analyst?

AspectML Data AssociateData Analyst
Required CredentialsTypically a degree in computer science, data science, or related field; familiarity with machine learning conceptsUsually a degree in statistics, mathematics, or business analytics; strong Excel and data visualization skills
Work EnvironmentTech companies, AI startups, or organizations focusing on machine learning projectsBusiness, finance, marketing, and consulting firms analyzing data for insights
Employer & Industry UsageUsed in industries developing AI models, machine learning pipelines, and data infrastructureCommon across industries for reporting, trend analysis, and strategic decision-making

While both roles involve working with data, ML Data Associates focus on preparing and managing data specifically for machine learning models, whereas Data Analysts interpret data to generate business insights. The roles overlap in data handling skills but differ in their end goals and technical focus.

How do I become an ML Data Associate?

To become an ML Data Associate, candidates typically need a high school diploma or equivalent, along with strong attention to detail and organizational skills. Familiarity with data management tools, basic understanding of machine learning concepts, and experience with data annotation or labeling are often required. Some roles may also require knowledge of programming languages like Python or experience with data annotation platforms.

What skills do you need for a machine learning data associate job?

A machine learning data associate needs strong analytical skills, attention to detail, and proficiency in data management tools like Excel, SQL, or Python. Knowledge of data cleaning, labeling, and basic understanding of machine learning concepts are also important for the role.

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

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

What cities in Minnesota are hiring for Ml Data Associate jobs?

Cities in Minnesota with the most Ml Data Associate job openings:

Infographic showing various Ml Data Associate job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $66,638 per year, or $32 per hour.

Associate AI/ML Engineer

UnitedHealth Group

Eden Prairie, MN • Remote

$77K - $137K/yr

Full-time

Retirement

Posted 4 days ago


Key responsibilities

  • Assist in designing, developing, and deploying AI-powered solutions to address complex business challenges

  • Leverage enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement

  • Assist in building, training, and evaluating machine learning and deep learning models to solve healthcare business problems


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

191st of 898 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. 

As an Associate AI/ML Engineer in Optum Technology, you will be part of the Employee Virtual Agent (Eva) team-a key AI initiative designed to save time and improve the experience for hundreds of thousands of employees. In this role, you will help develop and deploy a cutting-edge multi-agent platform based on Google's Gemini Enterprise, designed to answer employee questions and automate common administrative tasks. This is an exciting opportunity to work with state-of-the-art Generative AI technologies and build scalable solutions that make a tangible impact across the entire enterprise.

You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

  • Assist in designing, developing, and deploying AI-powered solutions to address complex business challenges, with an emphasis on the responsible use of AI
  • Leverage enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement
  • Assist in building, training, and evaluating machine learning and deep learning models to solve healthcare business problems
  • Collaborate with engineering and product teams to integrate AI/ML models into scalable, production-ready capabilities
  • Support data preprocessing, feature engineering, and pipeline development to ensure high-quality training data
  • Evaluate emerging trends in artificial intelligence and machine learning to inform solution design and strategic innovation
  • Write clean, maintainable, and efficient code in Python, R, or other relevant languages
  • Participate in code reviews, model testing, and troubleshooting to ensure reliability and scalability of ML systems
  •  Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI 

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • High School Diploma/GED
  • 1 years of experience with software development, machine learning, or data science
  • 1 years of experience programming in Python
  • 1 years of experience with machine learning concepts, libraries and frameworks
  • 1 years of experience working with SQL and relational databases

Preferred Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field
  • Experience using version control systems (such as Git)
  • Experience deploying machine learning models in a cloud environment (e.g., AWS, Azure, GCP)
  • Understanding of GenAI concepts, LLMs (Large Language Models), or natural language processing (NLP)
  • Understanding of agentic AI concepts, including effective prompt building, agentic loops, A2A, Google ADK
  • Experience with CI/CD pipelines (such as Jenkins or GitLab CI)
  • Strong problem-solving and communication skills with a passion for continuous learning in AI

*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.        

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $77,000 - $137,600 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. 

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

#RPO #GREEN


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