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Data Annotation Tech Remote Jobs in Minnesota (NOW HIRING)

Senior Data Analyst

Minneapolis, MN ยท On-site +1

$29.90 - $36.60/hr

... technology professionals. We are looking for a technically minded person who enjoys working with ... This position is eligible for fully remote, hybrid, or fully onsite work arrangements. ISRDI is ...

Senior Data Engineer

Rochester, MN ยท On-site +1

$103K - $140K/yr

This is a full time remote position within the United States. Mayo Clinic will not sponsor or ... technology, health science, or other analytical/quantitative field and a minimum of five years of ...

Senior Data Scientist

Minneapolis, MN ยท On-site +1

$108K - $181K/yr

... tools and technologies * Frame business problems as measurable data science opportunities and ... International relocation and international remote working arrangements outside of the United States ...

IT Systems Engineer

Eagan, MN ยท On-site +1

$80K - $110K/yr

We deliver software solutions, data analytics and services for EMS, hospitals, community ... Perform remote site updates for self-hosted clients and assist customers with Site-to-Site VPN ...

Whether you've got deep experience in commercial real estate, skilled trades or technology, or you ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

IT Manager - Infrastructure

Minneapolis, MN ยท On-site +1

$129K - $193K/yr

Partner with Security, Applications, Data/AI and Business Leaders to ensure solutions are resilient ... Lead enterprise network operations including ZTNA, LAN/WAN/Wi-Fi, firewalls, segmentation, remote ...

Showing results 41-60

Data Annotation Tech Remote information

What is the difference between Data Annotation Tech Remote vs Data Labeling Specialist?

AspectData Annotation Tech RemoteData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in data annotation toolsSimilar credentials, often with experience in labeling software
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI, autonomous vehicles, and tech firms

Both roles involve labeling data for machine learning models, with similar credentials and remote work options. The main difference lies in job titles used by employers, but their responsibilities and industry applications overlap significantly.

What are Data Annotation Tech Remote jobs?

Data Annotation Tech Remote jobs involve working from home or another remote location to label, tag, or classify data such as text, images, audio, or video. This work is essential for training and improving artificial intelligence and machine learning models. Data annotators use specialized software tools to accurately identify and categorize data according to specific guidelines provided by employers. These roles require attention to detail, consistency, and sometimes subject-matter expertise, depending on the project. Remote data annotation jobs are popular because they often offer flexible schedules and the ability to work from anywhere.

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

Remote Data Annotation Technicians often encounter challenges such as maintaining consistent annotation quality, managing repetitive tasks, and ensuring clear communication with team leads or project managers. To address these, it's helpful to establish a structured daily routine, use collaboration tools to stay connected with the team, and regularly review project guidelines to ensure accuracy. Many organizations also provide feedback loops and quality assurance checks, so being proactive in seeking feedback can help improve performance and job satisfaction.

What are the key skills and qualifications needed to thrive as a Data Annotation Tech (Remote), and why are they important?

To excel as a Data Annotation Tech (Remote), you need attention to detail, basic computer literacy, and familiarity with data labeling practices, often supported by a high school diploma or equivalent. Proficiency with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, and training in data privacy or quality assurance may be beneficial. Strong communication, time management, and the ability to focus independently are standout soft skills for this remote role. These competencies are crucial to ensure accurate, high-quality data labeling that directly impacts the effectiveness of AI and machine learning models.
What are popular job titles related to Data Annotation Tech Remote jobs in Minnesota? For Data Annotation Tech Remote jobs in Minnesota, the most frequently searched job titles are:
Infographic showing various Data Annotation Tech Remote job openings in Minnesota as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Senior Data Analyst

Senior Data Analyst

University of Minnesota

Minneapolis, MN โ€ข On-site, Remote

$29.90 - $36.60/hr

Full-time

Posted 4 days ago


Job description

About the Job
 

This is a temporary, 9-month appointment with the possibility of continuation dependent on funding and satisfactory performance. 

IPUMS makes the world's largest collection of population and health survey data freely accessible online. Hundreds of thousands of researchers worldwide use these data, and you can contribute to developing and enhancing this public good. 

We seek a senior data analyst interested in health survey data to join our diverse team of research and technology professionals. We are looking for a technically minded person who enjoys working with data and can learn new skills and knowledge quickly. 


The current senior data analyst opening is on the IPUMS Global Health team. IPUMS Global Health projects generally, and the IPUMS DHS project in particular, integrate health survey microdata from low- and middle-income countries and develop associated metadata and documentation. In this position, you will reformat public use microdata files into a consistent format, develop and implement efficient processes for creating harmonized variables and their documentation, carry out supplemental programming, run and check recoded data, update metadata control files, and collaborate on creating website content and publicity materials. You will also participate in other tasks, including user support, outreach, and involvement in other IPUMS projects.

The signature activity of all IPUMS projects is the integration of discrete datasets into a single consistently coded and documented series that enables comparative analyses over time and space. IPUMS projects share common methods and infrastructure while each has its unique challenges and timelines of deliverables. The environment is highly collaborative, and you will work closely with research scientists, data analysts, student research assistants, and software developers. We are constantly pushing the boundaries of data processing and dissemination methods, and there is considerable opportunity for initiative and creativity by all members of the research staff.

RESPONSIBILITIES 

60% Data processing: Execute all stages of the IPUMS DHS data processing pipeline, including: reformatting public use files; linking data across file types; adding samples, checking variable universes, and updating documentation for integrated variables; developing supplemental programming; tracking progress in harmonizing survey data; running, testing, and deploying recoded data; updating metadata control files; and expanding and keeping current the material on the project website. 

30% Improving workflows and processes: Identify, design, and implement improvements to established workflows, including modifying and developing code and more efficient approaches to automate data production.  Liaise with IT staff to diagnose and resolve problems and to implement reforms to workflow processes.

5% Supporting other IPUMS Global Health projects: Provide support for data production tasks on other IPUMS Global Health Projects. 

5% Other tasks: Collaborate on preparing and presenting information about IPUMS Global Health data in a variety of venues, including professional conference exhibits, workshops, webinars, online office hours, and blog posts.


Pay Range:  $29.90 - $36.60 per hour ($62,254.10- $75,000, annually), depending on qualifications

Work Location: This position is eligible for fully remote, hybrid, or fully onsite work arrangements. ISRDI is located at 50 Willey Hall in Minneapolis, MN. 

Qualifications
 

Required:

  • BA/BS degree in applied data science/analysis or quantitative social science field like geography, sociology, economics, epidemiology, biostatistics, statistics, public health, or other related discipline plus at least four years of relevant experience or a combination of education and relevant work experience to equal at least eight years. 
  • Excellent data manipulation skills (including documenting and organizing data and code)
  • Experience analyzing and integrating complex data that vary over space and time
  • Strong written, verbal, and interpersonal communication skills 
  • Ability to work independently with limited supervision and to collaborate with others
  • Attentive to detail and committed to accuracy 
  • Willingness to acquire new skills and learn IPUMS standard procedures

Preferred*: 

  • Experience using one of the IPUMS databases or other large-scale census or survey datasets
  • Experience with statistical packages (R, SPSS, Stata, or SAS)
  • Experience with technical writing, web content design, and/or public communication
  • Degree in a social science or other field where health or social science survey data are directly applicable 
  • Ability to read language(s) in addition to English and/or cultural knowledge of other world regions
  • Demonstrated commitment to diversity, equity, inclusion, and justice 

*Are you excited about this job and meet the required qualifications, but your past experience doesn't align perfectly with every preferred qualification? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. If this is you, we strongly encourage you to apply because you just may be the right candidate for this role.

About the Department
 

IPUMS is part of the Institute for Social Research and Data Innovation (ISRDI). ISRDI is an interdisciplinary research organization that includes the Minnesota Population Center, the Life Course Center, and the Minnesota Research Data Center.  ISRDI promotes a work-life balance for our staff, offering 40-hour workweeks and flexible work hours. The University also offers excellent health insurance, retirement benefits, and tuition assistance. ISRDI encourages and supports staff training and development. 

Diversity and inclusion are core values of our organization! We are committed to creating a work environment that celebrates and promotes diversity and advances a culture of inclusion for people from historically excluded and underrepresented groups. We strongly encourage members of underrepresented groups to apply.

Pay and Benefits
 

Pay Range: $29.90 - $36.60 per hour ($62,254.10- $75,000, annually); depending on education/qualifications/experience

Time Appointment: 100% 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