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Data Annotation For Ai Jobs in Wisconsin (NOW HIRING)

Improving America's infrastructure isn't for the weak. It takes grit, determination, and hard work ... The Staff Data & AI Governance Manager will help build Michels' enterprise governance function from ...

WI · On-site

RealPage in the United States is seeking a Senior Product Manager to own the data offerings built on a cloud-native platform for AI-driven multifamily real estate. You will lead a PM team ...

Our radiation therapy for cancer makes treatment shorter, safer, personalized and more effective, ultimately enabling patients to live longer, better lives. Data Privacy and Responsible AI Manager ...

New

WI · On-site

$250/hr

Responsible for a set of products and services, they get to know their portfolio inside and out ... Develop and execute account strategies aligned to customer data, analytics, and AI transformation ...

WI · On-site

You will review clinical data, evaluate trial materials, and provide expert medical judgment to guide AI-driven healthcare projects. Experience in oncology/hematology, trial evaluation, and adverse ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

WI · On-site

$250/hr

Data Foundations for AI - Lay out the vision and build the structure that makes data the fuel for AI: the trusted, governed data foundations, semantic layer, and pipelines that AI agents and agentic ...

WI · On-site

$200 - $250/hr

Define the SAP LE wide vision and roadmap for SAP BTP, AI & Automation * Align SAP BTP,AI & Automation offerings with NTT DATA's global SAP and Digital portfolios * Partner with SAP, hyperscalers ...

WI · On-site

$125 - $150/hr

Collaborate with data engineering teams to ensure high-quality, governed, and accessible data for AI initiatives. * Develop AI-enabled analytics and predictive models supporting manufacturing, supply ...

Senior AI Engineer

Green Bay, WI · On-site

$150 - $200/hr

Fine-tune and optimize pre-trained AI/ML models for specific use cases. * Collaborate with engineers and data scientists to build and deploy scalable AI-driven features. * Full Stack Development:

Data Architect (GCP)

Appleton, WI · On-site

$140K - $170K/yr

The Data Architect will work closely with a team of Data Engineers, Data Analysts, and Data ... Passion for AI and a demonstrated interest in identifying practical ways to leverage AI within ...

Showing results 41-60

Data Annotation For Ai information

What is data annotation for AI?

Data annotation for AI is the process of labeling or tagging data—such as text, images, audio, or video—to make it understandable for machine learning models. Annotators add relevant information to raw data, helping AI systems learn to recognize patterns and make accurate predictions. This step is crucial for training, validating, and testing AI algorithms, especially in tasks like computer vision and natural language processing. High-quality data annotation directly impacts the effectiveness and reliability of AI applications.

What are some common challenges faced by data annotators working on AI projects, and how can they be addressed?

Data annotators for AI often encounter challenges such as maintaining consistency across large datasets, understanding ambiguous labeling instructions, and managing repetitive tasks. To address these issues, it's important to actively seek clarification on guidelines, participate in team discussions to align on labeling standards, and use annotation tools that flag inconsistencies. Regular feedback sessions with project leads also help improve accuracy and efficiency, fostering a collaborative and supportive work environment.

What are the key skills and qualifications needed to thrive as a data annotation specialist for AI, and why are they important?

To thrive as a Data Annotation Specialist for AI, you need a keen eye for detail, a solid understanding of data labeling concepts, and often a background in the relevant domain (such as language, images, or audio). Proficiency with annotation platforms, data management systems, and basic familiarity with tools like Excel or Python can be highly valuable. Strong communication, consistency, and time management skills help ensure accuracy and meet project deadlines. These abilities are crucial because high-quality, well-annotated data is foundational for training reliable and effective AI models.

What is the difference between Data Annotation For Ai vs Data Labeler?

AspectData Annotation For AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageArtificial Intelligence, Machine LearningData management, content moderation
Job FocusPreparing data for AI algorithms through annotationLabeling data for various purposes, including AI

Data Annotation For Ai involves preparing datasets specifically for training AI models, focusing on detailed annotations. Data Labeler is a broader role that includes labeling data for multiple purposes, including AI but also other data management tasks. While both roles require similar skills, Data Annotation For Ai is more specialized towards AI development projects.

What are popular job titles related to Data Annotation For Ai jobs in Wisconsin?

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

What job categories do people searching Data Annotation For Ai jobs in Wisconsin look for?

The top searched job categories for Data Annotation For Ai jobs in Wisconsin are:

What cities in Wisconsin are hiring for Data Annotation For Ai jobs?

Cities in Wisconsin with the most Data Annotation For Ai job openings:

Infographic showing various Data Annotation For Ai job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Staff Data & AI Governance Manager

Michels

Neenah, WI • On-site

$150 - $200/hr

Other

Medical, Dental, Life, Retirement

Posted 7 days ago


Job description

Improving America’s infrastructure isn’t for the weak. It takes grit, determination, and hard work to execute high impact projects. Michels Corporation engages 10,000 people and 18,000 pieces of heavy equipment in our insatiable drive to be the best. Our work improves lives. Find out how a career as an Staff Data & AI Governance Manager can change yours.

The Staff Data & AI Governance Manager will help build Michels' enterprise governance function from the ground up. As a founding member of the Enterprise Intelligence team, this role will shape the policies, standards, operating routines, and accountability model that make data trusted, discoverable, and usable across the business. The role will also establish practical, risk-based governance for AI so Michels can move quickly on experimentation while applying stronger oversight where use cases require durability, transparency, or compliance. This role starts hands-on, laying the groundwork that lets Michels move with speed and confidence , with a clear path to build and lead the governance team as the function matures.

  • We are consistently ranked among the top 10% of Engineering News-Record’s Top 400 Contractors
  • Our steady, strategic growth revolves around a commitment to quality
  • We are family owned and operated
  • We invest an average of $5,000 per employee on training each year
  • We reward hard work and dedication with limitless opportunities
  • We believe it is everyone’s responsibility to promote safety, regardless of job titles.
  • We offer a comprehensive benefits program including (depending on your positions and location you may participate in a different benefit plan):
    • Health, Dental, Life, Flexible Spending Accounts, Health Savings Account, Short Term and Long-Term Disability Insurance, 401(k) plan, Legal Plan, and Identity Theft and Monitoring Plan
Why you?
  • You thrive in fast-paced environments under tight deadlines
  • You enjoy collaborating and communicating with your teammates
  • You like to know your efforts are noticed and appreciated
  • You have strong time management, verbal, and written communication skills
Key Responsibilities:
  • Build and operationalize Michels' data and AI governance framework: policies, standards, roles, decision rights, and operating processes.
  • Establish foundational data governance across ownership, stewardship, quality, metadata, lineage, classification, and retention.
  • Partner with business, operations, and IT teams to build shared ownership of governance across data and AI work.
  • Create practical AI governance for use-case intake, risk classification, responsible AI review, vendor and embedded AI oversight, and monitoring.
  • Facilitate the governance forums, stewardship routines, and cross-functional decisions that clarify accountability and make governance actionable.
  • Develop metrics and reporting that give leadership visibility into data quality, governance maturity, AI adoption, and emerging risks.
  • Grow the function over time, evolving from hands-on builder into the leader of future governance capabilities, communities, and team.
Qualifications:
  • Bachelor's degree in Computer Science, Information Systems, Business Administration, or a related quantitative field, or equivalent practical experience.
  • 7+ years of experience in data governance, data management, technology risk, or a related discipline at enterprise scale.
  • Strong command of core governance disciplines, with demonstrated ability to build and mature governance programs.
  • Familiarity with modern data platforms and governance tooling such as Microsoft Fabric, Databricks, Snowflake, Collibra, Alation, Atlan, or similar technologies.
  • Working knowledge of generative and agentic AI, responsible AI, and risk-based AI governance.
  • Strong communication and stakeholder skills, with the ability to influence without authority, facilitate cross-functional decisions, and explain governance and risk concepts to technical, business, and executive audiences.
Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Michels Corporation’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

  • A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.
  • A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.
  • An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.
  • An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

Disabilities include, but are not limited to:

  • Alcohol or other substance use disorder (not currently using drugs illegally)
  • Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS
  • Blind or low vision
  • Cancer (past or present)
  • Cardiovascular or heart disease
  • Celiac disease
  • Cerebral palsy
  • Deaf or serious difficulty hearing
  • Diabetes
  • Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders
  • Epilepsy or other seizure disorder
  • Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome
  • Intellectual or developmental disability
  • Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD
  • Missing limbs or partially missing limbs
  • Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports
  • Nervous system condition, for example, migraine headaches, Parkinson’s disease, multiple sclerosis (MS)
  • Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities
  • Partial or complete paralysis (any cause)
  • Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema
  • Short stature (dwarfism)
  • Traumatic brain injury
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