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Ai Tagging Jobs in Wisconsin (NOW HIRING)

What if your knowledge English language could help improve the AI.     WHAT YOU'LL DO   ... Follow strict project instructions and complete tasks accurately, including tagging specific issues ...

New

Organizing and tagging items for sale * Taking photos and uploading to auction platform * Creating ... Must be proficient with extensive use of modern technology, including AI-assisted tools, in daily ...

Sr. Systems Engineer - AI Platforms

Madison, WI · On-site

$105K - $144K/yr

... and AI platform services. Review and approve technical designs, integration proposals, and ... Own platform governance, including environment strategy, naming and tagging standards, technical ...

DevOps Team Lead

Watertown, WI · On-site

$50.25 - $69/hr

Use AI tools effectively in engineering workflows and help design and operate the cloud ... FinOps experience, including tagging-based cost allocation, commitment planning, anomaly detection ...

DevOps Team Lead

Watertown, WI · On-site +1

$50.25 - $69/hr

Use AI tools effectively in engineering workflows and help design and operate the cloud ... FinOps experience, including tagging-based cost allocation, commitment planning, anomaly detection ...

DevOps Team Lead

Watertown, WI · On-site +1

$50.25 - $69/hr

Use AI tools effectively in engineering workflows and help design and operate the cloud ... FinOps experience, including tagging-based cost allocation, commitment planning, anomaly detection ...

DevOps Team Lead

Watertown, WI · On-site

$50.25 - $69/hr

Use AI tools effectively in engineering workflows and help design and operate the cloud ... FinOps experience, including tagging-based cost allocation, commitment planning, anomaly detection ...

DevOps Team Lead

Watertown, WI

$50.25 - $69/hr

Use AI tools effectively in engineering workflows and help design and operate the cloud ... FinOps experience, including tagging-based cost allocation, commitment planning, anomaly detection ...

Laborer - Entry Level

La Crosse, WI · On-site

$22.17 - $24.17/hr

You will play a key role in maintaining our storage systems, tagging materials correctly, and ... AI helps assess applications and qualifications, but final decisions are made by our hiring team.

WI · On-site

$180 - $280/hr

Head of Procurement| WorkLocation Type: #remote or #hybrid IREN is a vertically integrated AI Cloud ... Working knowledge of asset management and maintenance planning practices -- asset tagging and ...

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Ai Tagging information

See Wisconsin salary details

$39.4K

$115.4K

$151.4K

How much do ai tagging jobs pay per year?

As of Aug 31, 2026, the average yearly pay for ai tagging in Wisconsin is $115,389.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,400.00 and $135,800.00 per year, depending on experience, location, and employer.

What is an AI tagging?

An AI Tagging job involves labeling or annotating data to help train machine learning models. This can include tagging images, videos, text, or audio with relevant metadata so that AI systems can recognize patterns and improve accuracy. AI taggers follow specific guidelines to ensure consistency and quality in the annotations. It's a crucial step in developing AI systems for tasks like image recognition, natural language processing, and recommendation algorithms.

What does an AI tagging do?

A typical day for an AI Tagging professional includes reviewing and labeling large sets of data—such as images, audio, or text—according to specific guidelines provided by the project. You may spend time collaborating with data scientists or project managers to clarify labeling instructions or resolve ambiguous cases. Work is usually structured with clear quality and productivity targets, and you might also participate in feedback sessions to improve annotation consistency. The pace can be steady, with periods of high concentration, and you may use specialized software platforms to manage your workflow. Team communication and attention to detail are key aspects of the job each day.

What are the key skills and qualifications needed to thrive in AI tagging?

To thrive in AI Tagging, you need strong attention to detail, data annotation skills, and familiarity with data quality standards, often backed by experience or coursework in information science or computer science. Familiarity with data labeling platforms, image and text annotation tools, and occasionally basic programming or scripting knowledge is beneficial. Strong organizational skills, patience, and the ability to work efficiently both independently and within a team distinguish top performers in this role. These skills ensure the accurate and efficient creation of high-quality labeled datasets that are essential for training and improving AI models.

What are popular job titles related to Ai Tagging jobs in Wisconsin?

For Ai Tagging jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Ai Tagging jobs in Wisconsin look for?

The top searched job categories for Ai Tagging jobs in Wisconsin are:

Infographic showing various Ai Tagging job openings in Wisconsin as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $115,389 per year, or $55.5 per hour.

Digital Asset Management Specialist

Milwaukee, WI

Full-time

Medical, Dental, Vision, Retirement

Re-posted 11 days ago


Job description

Job Description:

The DAM Administrator plays a critical role in managing and scaling Milwaukee Tool's Digital Asset Management ecosystem to support Product Experience Management (PXM), marketing operations, sales enablement, ecommerce, and global content distribution.

This role is responsible for maintaining the health, governance, organization, and optimization of the DAM platform, ensuring digital assets are structured, discoverable, accurate, compliant, and connected across enterprise systems and downstream channels.

Operating at the intersection of content, metadata, workflow, and technology, this individual partners cross-functionally with PXM, Brand, Creative, Digital, Ecommerce, IT, and external partners to improve asset accessibility, streamline workflows, enforce governance standards, and support scalable omnichannel content operations.

The role combines platform administration, metadata governance, taxonomy management, user enablement, automation support, and asset lifecycle management to ensure Milwaukee Tool's DAM evolves as a scalable enterprise capability rather than simply a file repository.

You'll be DISRUPTIVE through these duties and responsibilities:

  • Translate business needs into scalable DAM solutions: Partner with PIM, Brand, Creative, Digital, eCommerce, IT, and external partners to convert business requirements into scalable DAM structures, metadata models, workflows, taxonomy strategies, and asset governance standards.
  • Drive DAM governance and operational excellence: Establish and maintain DAM governance standards including metadata requirements, naming conventions, taxonomy structures, permissions, lifecycle policies, archival standards, and asset usage protocols to improve consistency, scalability, and usability across the organization.
  • Support platform strategy and ownership: Serve as a subject matter expert for the Digital Asset Management platform, contributing to roadmap prioritization, platform enhancements, workflow optimization, governance maturity, and long-term DAM scalability initiatives.
  • Optimize metadata and search experiences: Develop and maintain metadata schemas, controlled vocabularies, categories, collections, tags, and search configurations that improve discoverability, asset reuse, syndication readiness, and downstream channel distribution.
  • Manage asset lifecycle and content integrity: Oversee processes for asset ingestion, version control, approvals, expiration, archival, duplicate management, and deletion to ensure users have access to accurate, compliant, and current digital assets.
  • Enable scalable content distribution and syndication: Support the organization and delivery of product, marketing, sales, training, and brand assets across websites, eCommerce channels, portals, distributors, agencies, and downstream integrated platforms.
  • Leverage data and DAM insights to improve performance: Analyze DAM usage patterns, search behavior, metadata quality, duplicate content, asset engagement, and platform analytics to identify optimization opportunities and improve operational efficiency.
  • Enable cross-functional execution and adoption: Collaborate closely with PXM, Creative, Marketing, Digital, IT, and external partners to improve workflows, streamline asset operations, and support enterprise content scalability.
  • Support integrations and automation initiatives: Partner with Digital and IT teams to support integrations between DAM, PIM/PXM, CMS, eCommerce, and marketing platforms, while helping advance metadata automation, AI tagging, upload profiles, and workflow automation opportunities.
  • Advance DAM innovation and enterprise scalability: Stay informed on emerging DAM, PXM, AI tagging, metadata automation, and content operations trends to help improve discoverability, operational efficiency, governance maturity, and enterprise scalability.

The TOOLS you'll bring with you:

  • Bachelor's degree in Digital Marketing, Information Management, Library Science, Communications, Business, Information Systems, or a related field - or equivalent practical experience
  • 2 years+ of experience working with Digital Asset Management (DAM), Product Information Management (PIM), Product Experience Management (PXM), content operations, marketing technology, or enterprise digital platforms within a business, product, marketing, or eCommerce environment
  • Experience managing Digital Asset Management platforms such as Acquia DAM, Aprimo, Bynder, Adobe Experience Manager Assets, or similar technologies
  • Understanding of metadata governance, taxonomy structures, controlled vocabularies, asset organization, search optimization, and digital content lifecycle management best practices
  • Ability to translate business objectives into scalable DAM governance standards, metadata structures, workflows, operational processes, and platform solutions
  • Experience supporting integrations between DAM, PIM/PXM, CMS, eCommerce, marketing, or downstream content distribution platforms
  • Strong analytical and problem-solving skills, with the ability to identify operational inefficiencies, metadata quality gaps, duplicate assets, and optimization opportunities using platform data and insights
  • Strong communication and organizational skills, including the ability to simplify complex DAM concepts, manage competing priorities, document governance standards, and collaborate cross-functionally with technical and non-technical stakeholders

We provide these great perks and benefits:

  • Robust health, dental and vision insurance plans

  • Generous 401 (K) savings plan

  • Education assistance

  • On-site wellness, fitness center, food, and coffee service

  • And many more, check out our benefits siteHERE

Milwaukee Tool is an equal opportunity employer.