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Data Annotation Tech Jobs in Minneapolis, MN (NOW HIRING)

Data Annotation Tech information

See Minneapolis, MN salary details

$12

$23

$36

How much do data annotation tech jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for data annotation tech in Minneapolis, MN is $23.84, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $28.37 per hour, depending on experience, location, and employer.

What is a data annotation tech?

A Data Annotation Tech is responsible for labeling and categorizing data, such as text, images, audio, or video, to train machine learning models. They follow specific guidelines to ensure accuracy and consistency in annotations, which helps improve the performance of AI systems. This role often involves repetitive tasks, attention to detail, and familiarity with various annotation tools. Data annotation is crucial for AI development in industries like healthcare, finance, and autonomous driving.

What does a data annotation tech do?

A typical day as a Data Annotation Tech involves reviewing large sets of data—such as images, text, or audio—and accurately labeling or categorizing them using specialized software. You may work independently or as part of a team, following specific project guidelines to ensure data integrity and consistency. Collaboration with project managers or data scientists is common when clarifying ambiguous data points or addressing annotation challenges. Additionally, productivity targets and quality checks are a regular part of the workflow, helping to keep projects on schedule and maintain high standards.

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

To thrive as a Data Annotation Tech, you need keen attention to detail, basic computer literacy, and familiarity with data labeling standards, often supported by a high school diploma or equivalent. Experience with annotation platforms, image or text labeling tools, and basic knowledge of data management systems is highly valuable. Strong organizational skills, patience, and effective communication set top candidates apart in this field. These skills and qualities ensure annotated data is accurate, consistent, and valuable for machine learning or AI projects.

Does data annotation actually pay you?

Data annotation jobs typically pay hourly or per task, with rates varying depending on the platform and complexity of the work. Many companies and platforms offer remote opportunities that provide consistent payment once tasks are completed, often requiring basic skills in data labeling tools. Payment is generally reliable for those who meet quality standards and adhere to deadlines.

How much do data annotation technicians make?

Data annotation technicians typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the tasks. Many roles are entry-level and may offer flexible schedules or remote work opportunities.

How to become a data annotation tech?

To become a data annotation tech, you typically need a high school diploma or equivalent, strong attention to detail, and familiarity with data labeling tools or software. Some roles may require basic knowledge of machine learning concepts or specific platforms like Labelbox or CVAT. Gaining experience through online courses or tutorials can also improve job prospects.

What are the most commonly searched types of Data Annotation Tech jobs in Minneapolis, MN?

The most popular types of Data Annotation Tech jobs in Minneapolis, MN are:

What are popular job titles related to Data Annotation Tech jobs in Minneapolis, MN?

For Data Annotation Tech jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Data Annotation Tech jobs in Minneapolis, MN look for?

The top searched job categories for Data Annotation Tech jobs in Minneapolis, MN are:

What cities near Minneapolis, MN are hiring for Data Annotation Tech jobs?

Cities near Minneapolis, MN with the most Data Annotation Tech job openings:

Infographic showing various Data Annotation Tech job openings in Minneapolis, MN as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $49,593 per year, or $23.8 per hour.

AI Implementation Quality Analyst

Granicus

Saint Paul, MN • On-site

Other

Medical, Life, Retirement, PTO

Re-posted 6 days ago


Job description

AI Implementation Quality Analyst
Location US-Remote
ID 2026-10183
Category Implementation Position Type Full-Time Employee Type Regular Location Type Remote
The Company

Serving the People Who Serve the People

Granicus is driven by the excitement of building, implementing, and maintaining technology that is transforming the Govtech industry by bringing governments and its constituents together. We are on a mission to support our customers with meeting the needs of their communities and implementing our technology in ways that are equitable and inclusive. Granicus has consistently appeared on the GovTech 100 list over the past 5 years and has been recognized as the best companies to work on BuiltIn.

Over the last 25 years, we have served 5,500 federal, state, and local government agencies and more than 300 million citizen subscribers power an unmatched Subscriber Network that use our digital solutions to make the world a better place. With comprehensive cloud-based solutions for communications, government website design, meeting and agenda management software, records management, and digital services, Granicus empowers stronger relationships between government and residents across the U.S., U.K., Australia, New Zealand, and Canada. By simplifying interactions with residents, while disseminating critical information, Granicus brings governments closer to the people they serve-driving meaningful change for communities around the globe.


Want to know more? See more of what we do here.

Job Summary

The AI Quality & Evaluation Analyst is responsible for assessing the quality, correctness, completeness, and safety of AIgenerated responses across defined use cases. This role combines handson human review with structured, rubricbased evaluation incorporating automation to ensure AI systems meet documented standards before customer implementations go live.

As part of the implementation team, this role is client-facing and serves as a bridge between client expectations and system behavior, translating real-world use cases, domain context, and risk tolerance into measurable evaluation criteria and actionable feedback for product and engineering teams.

The role focuses on what the AI says and does, not on model training or infrastructure performance. The analyst serves as a human quality gate, ensuring outputs are accurate, appropriate for the audience, and aligned with policy and governance requirements.

This role works closely with product and domain experts to translate realworld expectations into measurable evaluation criteria and repeatable test artifacts.

What Your Impact Will Look Like
    Partner directly with clients during implementation to understand use cases, success criteria, and risk tolerance
  • Translate client requirements into evaluation frameworks, prompt strategies, and test coverage
  • Act as the quality liaison between client, product, and engineering to ensure alignment pre- and post-launch
  • Review and score AI responses using standard rubrics
  • Validate against sources/ground truth; flag hallucinations, omissions, and other risks
  • Document findings and calibrate with peers to keep scoring consistent
  • Build and maintain prompt banks and golden sets (expected results)
  • Expand coverage for edge cases, high-risk scenarios, and real user language
  • Track regression/drift and feed dashboards and quality reports
  • Triage internal and client feedback; synthesize themes across deployments
  • Identify systemic risks and escalate high-impact findings with clear, client-relevant context
  • Partner with product/engineering to validate and verify fixes, ensuring alignment with client expectations
You Will Love This Job If You Have
  • Strong analytical judgment and attention to detail
  • Excellent written communication skills, including the ability to explain reasoning clearly
  • Experience reviewing, auditing, or evaluating structured outputs such as content, decisions, or recommendations
  • Comfort applying detailed guidelines and rubrics consistently at scale
  • Familiarity with large language models and common failure modes such as hallucinations, overgeneralization, or unsafe responses
  • Ability to work in spreadsheets, evaluation tools, or annotation platforms
  • Experience with AI evaluation, data annotation, QA, trust and safety, or policy review
  • Exposure to humanintheloop workflows, or benchmarking processes
  • Domain expertise in a regulated or highrisk field such as government, education, healthcare, or legal services
  • Experience contributing to test suites, evaluation dashboards, or quality reporting
  • Comfort working crossfunctionally with product and engineering teams
  • Experience in client-facing roles such as implementation, consulting, or solution delivery in a SaaS or regulated environment
  • Ability to translate between business/user needs and technical system behavior

AI responses consistently meet defined standards for accuracy, completeness, and safety in real client use cases

Evaluation results are reproducible and trusted across teams and with clients

Client requirements and risk tolerances are clearly translated into evaluation criteria and test coverage

Quality issues are identified early, clearly documented, and actionable

Test coverage expands over time to reflect real user behavior and risk

Stakeholders can confidently use evaluation outputs to make release and governance decisions

AI outputs are consistently accurate, complete, and safe in real client use cases, with quality standards that are clearly defined and trusted across teams. Client expectations and risk tolerances are effectively translated into repeatable evaluation frameworks and test coverage. Issues are identified early, communicated clearly, and resolved quickly with engineering. Evaluation outputs are reliable and actionable, enabling confident release decisions and building trust with both internal stakeholders and clients.

A strong instinct for what "good" looks like and the discipline to define and measure it. You enjoy digging into ambiguous outputs, spotting subtle issues, and backing your judgment with clear reasoning and evidence. You're comfortable operating at the intersection of clients and technical teams-translating real-world needs into structured evaluation criteria and turning findings into actionable improvements. You like building systems that scale (rubrics, test sets, coverage) and take pride in making complex behavior consistent, reliable, and trustworthy.

Pay Range
USD $80,000.00 - USD $105,700.00 /Yr.
About Us

Don't have all the skills/experience mentioned above? At Granicus, we are trying to build diverse, inclusive teams. We do not have degree requirements for most of our roles. If you don't meet every requirement above but are excited to learn more, we encourage you to apply. We might just be able to find another role that could be a perfect fit!

Security and Privacy Requirements

  • Responsible for Granicus information security by appropriately preserving the Confidentiality, Integrity, and Availability (CIA) of Granicus information assets in accordance with the company's information security program.
  • Responsible for ensuring the data privacy of our employees and customers, their data, as well as taking all required privacy training in a timely manner, in accordance with company policies.

The Team

  • We are a remote-first company with a globally distributed workforce across the United States, Canada, United Kingdom, India, Armenia, Australia, and New Zealand.

The Culture

  • At Granicus, we are building a transparent, inclusive, and safe space for everyone who wants to be
    a part of our journey.
  • A few culture highlights include - Employee Resource Groups to encourage diverse voices
  • Coffee with Mark sessions - Our employees get to interact with our CEO on very important and
    sometimes difficult issues ranging from mental health to work-life balance and current affairs.
  • Microsoft Teams communities focused on wellness, art, furbabies, family, parenting, and more.
  • We bring in special guests from time to time to discuss issues that impact our employee
    population

The Impact

  • We are proud to serve dynamic organizations around the globe that use our digital solutions to make the world a better place - quite literally. We have so many powerful success stories that illustrate how our solutions are impacting the world. See more of our impact here.
The Benefits
At Granicus, we offer a comprehensive and flexible benefits package designed to support your well-being, growth, and work-life balance-starting from day one.
Here's what you can expect as a U.S.-based team member:


Flexibility & Balance

  • Flexible Time Off - Take the time you need to rest, recharge, and live your life.
  • Company-Wide Wellbeing Days - Paid days off to unplug and focus on your mental health.
  • Work From Home Reimbursement - Support a productive home office environment.

Health & Wellness
  • Multiple Health Plan Options - Including a 100% employer-paid plan.
  • Employer HSA Contributions - When enrolled in a High-Deductible Health Plan.
  • Fitness Reimbursement Program - Stay active, your way.
  • On-Demand Mental Health Support - Access to Headspace and other wellness tools.

Family & Future
  • Paid Parental Leave - For both birthing and non-birthing parents.
  • Traditional & Roth 401(k) - With a generous company match.
  • Life & AD&D Insurance - 100% employer-paid coverage for peace of mind.

Growth & Recognition
  • Online Learning Platforms - Fuel your professional development.
  • Competitive Salary & Bonuses - Your contributions are valued and rewarded.
Equal Opportunity Employer
Granicus is committed to providing equal employment opportunities. All qualified applicants and employees will be considered for employment and advancement without regard to race, color, religion, creed, national origin, ancestry, sex, gender, gender identity, gender expression, physical or mental disability, age, genetic information, sexual or affectional orientation, marital status, status with regard to public assistance, familial status, military or veteran status or any other status protected by applicable law.