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Data Annotation Manager Jobs in Minnesota (NOW HIRING)

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Data Annotation Manager information

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$30.4K

$95.1K

$168.5K

How much do data annotation manager jobs pay per year?

As of Jul 13, 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 is the salary of data annotation manager?

The salary of a data annotation manager typically ranges from $60,000 to $120,000 annually, depending on experience, location, and company size. Senior roles or those in high-cost areas may offer higher compensation, and familiarity with annotation tools and team management can influence pay levels.

How much do data annotation project managers make?

Data annotation project managers typically earn between $60,000 and $100,000 annually, depending on experience, location, and company size. They oversee annotation teams, coordinate workflows, and ensure quality standards are met, often requiring familiarity with annotation tools and project management skills.

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.

Does data annotation actually pay well?

Data annotation managers typically earn competitive salaries that reflect their experience and responsibilities, often ranging from entry-level to senior roles. Compensation can vary based on industry, location, and company size, with specialized skills in tools like labeling platforms and quality control often leading to higher pay.

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.

How hard is it to get hired by data annotation?

Getting hired as a data annotation manager typically requires relevant experience in data labeling, familiarity with annotation tools, and strong organizational skills. The hiring process often involves reviewing previous work, technical assessments, and demonstrating attention to detail, with opportunities available in companies that outsource data labeling tasks.

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:
What cities in Minnesota are hiring for Data Annotation Manager jobs? Cities in Minnesota with the most Data Annotation Manager job openings:
Research Professional 1 - Biomed Research

Research Professional 1 - Biomed Research

University of Minnesota

Minneapolis, MN

$50K/yr

Part-time

Medical, Dental, Life, Retirement

Posted 6 days ago


Job description

About the Job
 

The Biosensing and Biorobotics Laboratory at the University of Minnesota seeks a highly motivated Biomedical Research Specialist to support cutting-edge research in advanced optical imaging, neuroscience, and biomedical engineering. The successful candidate will assist with the processing, analysis, and visualization of large-scale biomedical imaging datasets collected from novel imaging systems. This is an excellent opportunity for recent graduates interested in gaining research experience before pursuing graduate or professional school.

The  candidate will work closely with faculty, graduate students, and postdoctoral researchers on projects involving calcium imaging, neural behavior.  The position offers opportunities to contribute to scientific publications, develop computational skills, and participate in interdisciplinary research. 

The candidate will work with Senior Research Scientist in the group. He/she will assist the research scientist on experimental work focused on gathering large-scale neural imaging datasets. He/ she will run a data analysis pipeline established in the group to retrieve activities of single neurons from the neural imaging data. Work will involve manual curation of datasets, training machine learning algorithms for automated detection of neural activity. The candidate may also be required to assist in manual curation and analysis of behavioral video, manual annotation of key anatomical landmarks.

This is a one-year part-time temporary posted position.  It is possible this position might be extended for a second year depending on satisfactory performance, the availability of funds and/or work for the position, and meeting standard University employment requirements. 

Visa Language: Please note, this position is not eligible for H-1B or Green Card sponsorship. This position does not offer a STEM OPT training program.

Schedule: Monday-Friday, 8:00am-4:30pm

Work environment: In person, University of Minnesota-Twin Cities East Bank campus

Duties/responsibilities

  • Carry out data analyses of large scale neural imaging datasets (40%)
  • Execute experimental paradigms for collecting large-scale and high speed neural imaging datasets (40%)
  • Assist senior lab personnel on carrying out imaging experiments (15%)
  • General lab management and upkeep (5%)
  • Other duties as assigned (5%)
Qualifications
 

Required qualifications:

  • BA/BS degree in Biomedical Engineering, Computer Science, Computer Engineering or closely related field, or a combination of education and relevant work experience to equal at least four years
  • 6-12 months experience working in a neural engineering lab setting. 
  • Proficiency in Python, C, C++ programming language
  • Knowledge of Neural data analysis
  • Experience with analysis neural calcium imaging datasets
  • Familiarity with Machine learning techniques for neural data analysis.

Preferred qualifications:

  • Good teamwork skills
  • Excellent attention to detail
  • Verbal and written communication skills
     
About the Department
 

The Department of Mechanical Engineering has an internationally recognized faculty, and is part of the College of Science and Engineering, the highly interdisciplinary college of engineering, physical sciences, and mathematics.

Pay and Benefits
 

Pay Range: $20.26 per hour ($42,140.80 annual) - $24.04 per hour ($50,003.20 annual); depending on education/qualifications/experience

Time Appointment: 75% Appointment

Position Type: Civil-Service & Non-Faculty Labor Represented Staff

Please visit the Office of Human Resources website for more information regarding benefit eligibility.

The University offers a comprehensive benefits package that includes:

  • Competitive wages, paid holidays, and generous time off
  • Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program
  • Low-cost medical, dental, and pharmacy plans
  • Healthcare and dependent care flexible spending accounts
  • University HSA contributions
  • Disability and employer-paid life insurance
  • Employee wellbeing program
  • Excellent retirement plans with employer contribution
  • Public Service Loan Forgiveness (PSLF) opportunity
  • Financial counseling services 
  • Employee Assistance Program with eight sessions of counseling at no cost
  • Employee Transit Pass with free or reduced rates in the Twin Cities metro area

While our salary ranges provide a framework, it is important to note that most of the
time, the initial pay may not reach the maximum of the range. This approach ensures
that compensation reflects the value and unique contributions of each candidate while
maintaining equity within our organization. As part of our commitment to fair and
equitable compensation, please be aware that the salary offered to incoming candidates
will be based on their individual credentials and experience.

How To Apply
 

Applications must be submitted online.  To be considered for this position, please click the Apply button and follow the instructions.  You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.

Required application materials: Resume

To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.

Diversity
 

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission.  The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression.  To learn more about diversity at the U:  http://diversity.umn.edu

Employment Requirements
 

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.

About University of Minnesota
 

The University of Minnesota, Twin Cities (UMTC)

The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

At the University of Minnesota, we are proud to be recognized by Forbes as a Best Employer for Company Culture (2026), Best Employer for Women (2023), and Best Employer by State (2022-2026). In 2026, we also received Culture Excellence & Industry Awards recognition for employee appreciation and work-life flexibility.