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Data Annotation Manager Jobs in Minnesota (NOW HIRING)

RVO Health

Senior Data Scientist

Minneapolis, MN · On-site +1

$105K - $150K/yr

Partner closely with Product Managers and Engineers to translate ambiguous health problems into ... annotation, human-in-the-loop review, and defining metrics that reflect real health outcomes

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Data Annotation Manager information

See Minnesota salary details

$30.4K

$95.1K

$168.5K

How much do data annotation manager jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data annotation manager in Minnesota is $95,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $122,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Data Annotation Managers, and how can they be addressed?

Data Annotation Managers often encounter challenges such as maintaining high annotation quality across large and diverse datasets, managing a distributed team of annotators, and meeting tight project deadlines. To address these, it's important to implement robust quality assurance processes, provide ongoing training for annotators, and establish clear communication channels. Leveraging annotation tools with built-in validation features can also help ensure consistency and accuracy. Building a positive and collaborative team environment further contributes to better outcomes and workflow efficiency.

What does a Data Annotation Manager do?

A Data Annotation Manager oversees the process of labeling and categorizing data used to train machine learning models. They manage teams of annotators, ensure data quality, develop annotation guidelines, and coordinate with data scientists to meet project requirements. Their role is critical in maintaining high standards of accuracy and efficiency, as well as ensuring that datasets are properly prepared for AI and machine learning applications.

What are the key skills and qualifications needed to thrive as a Data Annotation Manager, and why are they important?

To thrive as a Data Annotation Manager, you need expertise in data labeling processes, quality control, and a solid understanding of machine learning concepts, usually backed by a degree in computer science or a related field. Proficiency with annotation tools such as Labelbox, Supervisely, or CVAT, as well as experience with project management systems, is commonly required. Exceptional leadership, attention to detail, and strong communication skills help manage teams and ensure high annotation accuracy. These skills are critical for delivering reliable labeled datasets, which are essential for building effective AI and machine learning models.

What is the difference between Data Annotation Manager vs Data Labeling Specialist?

AspectData Annotation ManagerData Labeling Specialist
CredentialsBachelor's degree in related field, experience in data managementHigh school diploma or equivalent, training in labeling tools
Work EnvironmentTeam management, project oversight, collaboration with data scientistsHands-on labeling work, using annotation tools, focused on data tagging
Industry UsageUsed in AI/ML projects for overseeing annotation teamsPerforms the actual data labeling tasks in machine learning workflows

The Data Annotation Manager oversees the entire annotation process, managing teams and ensuring quality, while the Data Labeling Specialist focuses on executing labeling tasks. Both roles are essential in AI/ML data preparation but differ in responsibilities and scope.

What are the most commonly searched types of Data Annotation jobs in Minnesota? The most popular types of Data Annotation jobs in Minnesota are:
What are popular job titles related to Data Annotation Manager jobs in Minnesota? For Data Annotation Manager jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Data Annotation Manager jobs in Minnesota look for? The top searched job categories for Data Annotation Manager jobs in Minnesota are:
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Data Annotation Manager jobs near you

Senior Data Scientist

RVO Health

Minneapolis, MN • On-site, Remote

$105K - $150K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

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

Job description

AT A GLANCE

RVO Health is building an industry-leading healthcare platform that integrates the consumer health journey - helping people access the right information, care, and services at the right time. Formed through a partnership between Red Ventures and UnitedHealth Group, we combine world-class consumer analytics with one of the largest healthcare networks in the world. We're a growing team made up of a mix of data scientists, machine learning engineers, analytics engineers, data engineers, and product managers. We welcome candidates from different backgrounds and believe that diverse, inclusive teams are better teams.

We're looking for a Senior Data Scientist to join a fast-moving team building ML and AI solutions for consumer health behavior change products. You'll work on problems where your models directly influence real health outcomes for millions of users. We move fast, iterate often, and expect our scientists to thrive in ambiguity.

Where You'll Be

To prioritize togetherness, culture, and accountability, RVO Health operates on an in-office work schedule. We expect employees who are in close proximity to our office hubs to work from our Fort Mill SC, Minneapolis MN, or Denver CO, office Tuesday, Wednesday and Thursday each week. You are welcome to work remotely Mondays and Fridays if you wish. 

Address:  11000 Optum Cir, Eden Prairie, MN 55344

This role is also open remotely for those not in an office location.

What You'll Do
  • Design and build evaluation pipelines to measure AI and LLM output quality, including automated annotation frameworks and human-in-the-loop review workflows
  • Apply NLP techniques to clinical and claims data to extract structured insights that inform product and health outcomes
  • Build and improve search and retrieval systems that connect users to relevant, accurate health information using semantic search and RAG architectures
  • Develop and ship generative AI applications - moving rapidly from proof of concept to production
  • Partner closely with Product Managers and Engineers to translate ambiguous health problems into concrete, measurable data science solutions
  • Stay current on state-of-the-art techniques and quickly evaluate what is worth building versus what is noise
  • Lead cross-functional execution with stakeholders across product, engineering, and clinical teams
  • Contribute to a team culture that is inclusive, intellectually honest, and moves with urgency
What We're Looking For

You are comfortable owning problems end-to-end, shipping fast, and adjusting course when the data or product direction changes. You don't need perfect requirements to get started.

Core technical areas:

  • Generative AI & LLMs - experience building applications with LLMs, prompt engineering, RAG pipelines, LangChain, or similar tooling
  • Evaluation & Measurement - designing and building pipelines to assess AI/LLM output quality, including automated annotation, human-in-the-loop review, and defining metrics that reflect real health outcomes
  • Clinical NLP & Claims Data - extracting structured insights from unstructured clinical text and/or working with medical claims data to understand patient journeys, diagnoses, and treatment patterns
  • Search & Retrieval - building systems that help users find relevant health information, including semantic search, dense retrieval, and RAG architectures
  • Behavioral modeling - understanding user engagement, retention, and habit formation patterns in the context of health behavior change

Preferred qualifications:

  • PhD in a quantitative field (e.g., CS, Stats, or Physics) or a Master's degree with 3+ years of industry experience, specifically focused on shipping production-grade ML/AI solutions in complex domains like healthcare
  • Strong Python skills; experience deploying models in production environments
  • Familiarity with deep learning frameworks (PyTorch, TensorFlow) and NLP techniques (Transformers, LSTMs)
  • Experience with vector databases, embeddings, or retrieval-augmented generation
  • Hands-on experience with healthcare data (claims, EHR, or clinical text) is a strong plus
  • Demonstrated ability to move from research to production - not just notebooks
  • Comfortable working with cross-functional teams and communicating technical tradeoffs to non-technical stakeholders

Pursuant to various state Fair Pay Acts, below is a summary of compensation elements for this role at the company. The following benefits are provided by RVO Health, subject to eligibility requirements.

  • Starting Salary: $105,000, - $150,000 
    *Note actual salary is based on geographic location, qualifications and experience
  • Health Insurance Coverage (medical, dental, and vision)
  • Life Insurance
  • Short and Long-Term Disability Insurance
  • Flexible Spending Accounts
  • Paid Time Off
  • Holiday Pay
  • 401(k) with match
  • Employee Assistance Program
  • Paid Parental Bonding Benefit Program
  • Pharmacy Benefits
  • Income Protection Plans
  • Pet Services Plans
  • Mental Health Support
  • Wellness Coaching
  • HSA- Health Savings Account
  • Commuter Benefits
  • Gym & Fitness Center Discount Program

Who We Are: 

Founded in 2022, RVO Health is a new healthcare platform of digital media brands, services and technologies focused on building relationships with people throughout their health & wellness journey. We meet people where they are in their personal health journeys and connect them with both the information and the care they need. RVO Health was created by joining teams from both Red Ventures and UnitedHealth Group's Optum Health. Together we're focused on delivering on our vision of a stronger and healthier world.  

RVO Health is comprised of Healthline Media (Healthline, Medical News Today, Psych Central, Greatist and Bezzy), Healthgrades, FindCare and PlateJoy; Optum Perks, and the virtual coaching platforms Real Appeal, Wellness Coaching, and QuitForLife.  

We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.  

RVO Health is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at RVO Health is based solely on a person's merit and qualifications.   

We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodations@rvohealth.com.

We do not provide visa sponsorship for this role at this time.

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