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Data Annotation Tech Remote Jobs in Minnesota (NOW HIRING)

Data Management Strategic Planner

Saint Paul, MN · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Fully Remote (St. Paul, MN) Employment Type: Full-Time Experience Level: Advanced (10+ Years) Are ... If you enjoy bridging business and technology while driving measurable outcomes, this could be the ...

New

Data Management Strategic Planner

Saint Paul, MN · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Overview Location: Fully Remote (St. Paul, MN) Employment Type: Full-Time Experience Level ... If you enjoy bridging business and technology while driving measurable outcomes, this could be the ...

Optum is a global organization that delivers care, aided by technology to help millions of people ... Data Analyst II, Intelligence Enablement role supports the evolution of Optum from traditional ...

Remote Job Type : Contract (5 Months) Compensation : $67.67 - $112.78/hr Industry: Retail --- About ... Collaborate with business stakeholders, reporting teams, data analysts, and technology partners to ...

New

Data Engineer

Minnetonka, MN · On-site +1

$63K - $124K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Preferred Qualifications: * 3-5+ years of IT data engineering and analysis. * Familiarity with big ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Showing results 21-40

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 is a data annotation tech remote?

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 techs, 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.

How much do remote data annotation tech jobs pay?

Remote data annotation technician jobs typically pay between $12 and $20 per hour, depending on experience, skill level, and the complexity of the annotation tasks. Some positions may offer additional benefits or flexible schedules, and pay rates can vary based on the employer and geographic location of the company. Entry-level roles often start at the lower end of the pay scale, while experienced annotators or those with specialized skills may earn higher wages.

What are the key skills and qualifications needed to thrive as a data annotation tech remote?

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:

What job categories do people searching Data Annotation Tech Remote jobs in Minnesota look for?

The top searched job categories for Data Annotation Tech Remote jobs in Minnesota are:

Infographic showing various Data Annotation Tech Remote job openings in Minnesota as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Data Management Strategic Planner

Expleo

Saint Paul, MN • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Location: Fully Remote (St. Paul, MN)

Employment Type: Full-Time
Experience Level:
Advanced (10+ Years)

Are you passionate about helping organizations unlock the power of data, analytics, and AI? Trissential is hiring a Data Management Strategic Planner to join our client's team in a highly visible, strategic role where you'll help shape data-driven decision-making, advance data management capabilities, and influence enterprise-wide data strategy. If you enjoy bridging business and technology while driving measurable outcomes, this could be the perfect next step in your career

What's in It for You?

  • Strategic Impact – Help define and influence enterprise data management, governance, analytics, and AI initiatives
  • Cross-Functional Leadership – Partner with business leaders, data teams, project managers, analysts, and technical stakeholders across the organization
  • Innovation Exposure – Contribute to initiatives involving analytics, machine learning, natural language processing, data architecture, and decision modeling
  • Remote Flexibility – Enjoy the benefits of a fully remote work environment while collaborating with high-performing teams
  • Thought Leadership Opportunity – Promote data literacy, governance best practices, and data-driven decision-making across the enterprise
  • Professional Growth – Expand your expertise across data management, business strategy, analytics, governance, and emerging technologies

Your Role & Responsibilities

  • Develop and support strategic data management initiatives that align with business goals and enterprise priorities
  • Collaborate with stakeholders to identify opportunities where data, analytics, AI, and automation can create measurable business value
  • Facilitate workshops, discovery sessions, and stakeholder discussions to gather requirements and drive alignment
  • Help establish and promote data governance practices including master data management (MDM), data stewardship, and data quality initiatives
  • Support the creation of business cases that justify investments in data and analytics programs
  • Work closely with project managers to align business expectations, project objectives, and delivery capabilities
  • Partner with business analysts and technical teams to prioritize and evaluate use cases
  • Contribute to decision modeling efforts that improve organizational decision-making and support complex business trade-offs
  • Influence data literacy initiatives through storytelling, presentations, and stakeholder engagement
  • Assist in defining and communicating enterprise data architecture concepts including data warehouses, data lakes, and data hubs
  • Collaborate with design and user experience teams to ensure data products and visualizations are intuitive and effective
  • Present recommendations, insights, and strategic plans to both technical and non-technical audiences

Skills & Experience You Should Possess

  • 10+ years of experience in data management, data strategy, analytics, business intelligence, data governance, or a related field
  • Strong understanding of analytics methodologies, including descriptive, diagnostic, predictive, and prescriptive analytics
  • Knowledge of artificial intelligence concepts including machine learning, graph analytics, and natural language processing
  • Experience with data management disciplines including ETL, metadata management, data integration, and governance frameworks
  • Understanding of enterprise data architecture concepts, including data warehouses, data lakes, and data hubs
  • Knowledge of structured, semi-structured, and unstructured data environments
  • Experience supporting data governance initiatives including MDM, data quality, and stewardship programs
  • Strong statistical knowledge, including understanding correlation versus causation
  • Experience participating in or supporting project delivery initiatives
  • Business case development experience with demonstrated ability to articulate business value
  • Exceptional communication, facilitation, and presentation skills
  • Ability to influence stakeholders and build effective relationships across technical and business teams
  • Strong storytelling skills with the ability to translate complex concepts into clear business narratives
  • Proven collaboration and teamwork experience across multidisciplinary teams

Bonus Points If You Have

  • Experience with SQL, Python, R, or similar programming languages
  • Familiarity with notebooks and analytical development environments such as RStudio
  • Experience with Informatica, Talend, or comparable data integration platforms
  • Hands-on experience with business intelligence tools such as Microsoft Power BI or Tableau
  • Exposure to data science and machine learning platforms including Dataiku, SAS, or IBM Watson Studio
  • Experience supporting enterprise AI and advanced analytics programs
  • Background working within large-scale enterprise data modernization initiatives

Education & Certifications You Need

  • Bachelor's degree in Data Science, Computer Science, Information Systems, Analytics, Business, or a related field
  • Advanced degree preferred
  • Relevant certifications in Data Management, Analytics, Data Governance, Project Management, or Cloud/Data Platforms are highly desirable

What We Offer

At Trissential, we value innovation, collaboration, and the ability to make an impact. When you join our client's team, you'll have the opportunity to work on strategic initiatives that shape the future of data-driven business decision-making.

  • Competitive Compensation – You choose the model that works best for you, both with company-sponsored benefits! $144,000–$154,000 annually or $86–$96 per hour. Final compensation is determined based on skill alignment, years of experience, and fair, market-based rates by geography.
  • Comprehensive Benefits for you and your dependents – Extensive Medical Plans, Dental, Vision, HSA with company contribution, company sponsored Life Insurance and Short / Long term disability insurance, a host of voluntary plans including legal, hospital, accident, pet wellness, and 401k with matching
  • Paid Holidays and Paid Time Off
  • Career Development and Advancement – Expleo is a global company in 29 Countries worldwide with a high focus on development
  • Strong Team Culture – Collaborate with experienced professionals who value precision, performance, and teamwork

This role is only open to candidates who are authorized to work in the United States

Ready to be part of something exciting?

If you're passionate about helping organizations leverage data as a strategic asset and want to influence the future of data management, analytics, and AI, we'd love to hear from you. Apply today and take the next step in your career with Trissential