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Ai Model Trainer Jobs in Wisconsin (NOW HIRING)

Abbott

Sr. AI Integration Analyst

Madison, WI · On-site

$78K - $156K/yr

Builds and maintains data pipelines that expose structured enterprise data for AI model development, training, and deployment. * Partners with GenAI and MLOps teams to understand and deliver on ...

Abbott

Sr. AI Integration Analyst

Madison, WI

$78K - $156K/yr

Builds and maintains data pipelines that expose structured enterprise data for AI model development, training, and deployment. * Partners with GenAI and MLOps teams to understand and deliver on ...

YDU JC Air Cond & Ref Inc.- Dubai

$85 - $127/hr

The Senior AI/ML Engineer sits at the center of this transformation, building production AI/ML and ... Hands‑on experience with the full ML lifecycle: data preparation, model training, evaluation ...

Johnson Controls

AI Engineer

Glendale, WI · On-site

Hands-on experience with the full ML lifecycle: data preparation, model training, evaluation ... AI/ML and GenAI features you build are shipping in our smart building products and delivering ...

micro1 AI

AI Training Specialist - Chemistry

Kenosha, WI · Remote

$70 - $90/hr

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... training datasets and reasoning capabilities of AI systems. Preferred Qualifications * Advanced ...

micro1 AI

AI Training Specialist - Chemistry

Madison, WI · Remote

$70 - $90/hr

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... training datasets and reasoning capabilities of AI systems. Preferred Qualifications * Advanced ...

Johnson Controls

AI Engineer

Glendale, WI · On-site +1

Hands-on experience with the full ML lifecycle: data preparation, model training, evaluation ... AI/ML and GenAI features you build are shipping in our smart building products and delivering ...

Devitechs

WI · On-site

$90 - $130/hr

Implement automation processes to streamline model training, testing, and deployment * Ensure data quality, integrity, and governance standards are maintained across all AI workflows * Research and ...

Johnson Controls

Ai Engineer

Milwaukee, WI · On-site

As an AI Engineer, you will independently own the end-to-end delivery of defined AI projects-from ... training, evaluation, deployment, and monitoring-using CI/CD, containerization (Docker), and model ...

Johnson Controls

Ai Engineer

Milwaukee, WI · On-site

As an AI Engineer, you will independently own the end-to-end delivery of defined AI projects-from ... training, evaluation, deployment, and monitoring-using CI/CD, containerization (Docker), and model ...

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Ai Model Trainer information

See Wisconsin salary details

$11

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How much do ai model trainer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for ai model trainer in Wisconsin is $25.95, according to ZipRecruiter salary data. Most workers in this role earn between $19.42 and $30.10 per hour, depending on experience, location, and employer.

What does an AI model trainer do?

An AI Model Trainer is responsible for developing, training, and refining artificial intelligence models using large datasets. They preprocess data, select appropriate algorithms, monitor model performance, and tune parameters to improve accuracy and efficiency. Model trainers often collaborate with data scientists, engineers, and domain experts to ensure the AI meets specific requirements and delivers reliable results. Their work is essential for creating applications like image recognition, natural language processing, and predictive analytics.

What are some typical challenges faced by AI model trainers when working with large datasets?

AI Model Trainers frequently encounter challenges such as ensuring data quality, handling imbalanced datasets, and maintaining data privacy. Working with large datasets often requires careful preprocessing and cleaning to avoid biases and inaccuracies in the model. Additionally, trainers must collaborate closely with data engineers, domain experts, and software developers to validate data sources and to fine-tune models for optimal performance. Addressing these challenges is critical for producing reliable, high-performing AI systems.

What are the key skills and qualifications needed to thrive as an AI model trainer, and why are they important?

To thrive as an AI Model Trainer, you need strong expertise in machine learning, data analysis, and a background in computer science or a related field, often supported by an advanced degree. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with data labeling and annotation tools are essential. Attention to detail, critical thinking, and effective communication help in accurately training and refining AI models while collaborating with diverse teams. These skills ensure that AI systems are trained accurately and efficiently, leading to reliable and ethical AI solutions.

What is the difference between Ai Model Trainer vs Data Scientist?

AspectAi Model TrainerData Scientist
Required CredentialsBachelor's in CS, ML, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; advanced analytics skills
Work EnvironmentHands-on model training, data preprocessing, tuningData analysis, modeling, visualization, reporting
Employer & Industry UsageTech companies, AI startups, research labsTech, finance, healthcare, consulting firms
Search & Comparison IntentUnderstanding roles in AI developmentAnalyzing data to inform decisions

While both roles involve working with data and machine learning, an Ai Model Trainer primarily focuses on training and fine-tuning AI models, whereas a Data Scientist emphasizes analyzing data, building models, and deriving insights. The roles often overlap but serve different stages of AI and data projects.

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

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

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

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

What cities in Wisconsin are hiring for Ai Model Trainer jobs?

Cities in Wisconsin with the most Ai Model Trainer job openings:

Ai Model Trainer jobs near you
Infographic showing various Ai Model Trainer job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $53,967 per year, or $25.9 per hour.

Sr. AI Integration Analyst

Abbott

Madison, WI • On-site

$78K - $156K/yr

Full-time

Posted 24 days ago

Abbott rating

7.8

Company rating: 7.8 out of 10

Based on 138 frontline employees who took The Breakroom Quiz

175th of 544 rated manufacturers

Job description

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.
JOB DESCRIPTION:
Position Overview
The Sr. AI Integration Analyst sits within the Automation Business Solutions pillar of the AI Strategy organization. This role is focused on designing and building the integration layer that connects enterprise systems to AI solutions, directly enabling use case delivery across the GenAI and MLOps pillars. The Sr. Integration Engineer works closely with the Automation Solutions Architect and cross-functional AI Strategy teams, partnering with the IT Integrations team on enterprise standards while owning the AI-specific integration work.
Tools commonly used in this role include enterprise middleware platforms (MuleSoft, Dell Boomi, or Azure Integration Services), REST and FHIR APIs, and Python. This position may include on-call responsibilities as part of a production support rotation.
Essential Duties
Include, but are not limited to, the following:
  • Designs, develops, and maintains integrations between enterprise platforms and AI solutions in support of the AI Strategy organization.
  • Builds and maintains data pipelines that expose structured enterprise data for AI model development, training, and deployment.
  • Partners with GenAI and MLOps teams to understand and deliver on integration requirements for active AI use cases.
  • Collaborates with the IT Integrations team to ensure AI integration work aligns with enterprise standards and infrastructure.
  • Manages the full integration development lifecycle including design, development, testing, change control, go-live, and support.
  • Authors technical specifications and integration documentation for current and future AI use cases.
  • Develops and promotes integration best practices within the AI Strategy organization.
  • Writes and executes test plans to validate functional, quality, and security requirements.
  • Monitors live integrations and drives resolution of issues through durable, well-documented solutions.
  • Communicates effectively with technical and non-technical stakeholders across the organization.
  • Upholds the company mission and values through accountability, innovation, integrity, quality, and teamwork.
  • Supports and complies with the company's Quality Management System policies and procedures.
  • Maintains regular and reliable attendance.
  • Ability to act with an inclusion mindset and model these behaviors for the organization.

Minimum Qualifications
  • Bachelor's degree in engineering, physics, computer science, math, information systems, statistics, or related field or Associates degree and 2+ years of related experience or High School/GED and 4+ years of experience.
  • 5+ years of IT experience supporting system integrations.
  • 3+ years of Interface Engine Development.
  • Ability to develop in Corepoint or another interface engine.
  • Strong analytical, technical, and troubleshooting skills.
  • Ability to analyze data, solve problems, and clearly communicate solutions.
  • Ability to understand organizational requirements and their impact on the technical aspects of a solution.
  • Ability to work in a complex multi-communication-channel environment.
  • Skill at tracking tasks, defining next steps, identifying owners, and holding people accountable.
  • Ability to coordinate activities involving multiple players, including vendors, subject matter experts, interface engine developers, and end users, to design, configure, and test interfaces.
  • Ability to parse HL7 v2, XML, CSV, and HTML.
  • Demonstrated ability to perform the essential duties of the position with or without accommodation.
  • Authorization to work in the United States without sponsorship.

Preferred Qualifications
  • Proficiency with REST and/or SOAP APIs and enterprise integration patterns.
  • Hands-on experience with at least one integration middleware platform.
  • Strong backend development skills in Python, Java, or C#.
  • Experience designing and building ETL/ELT pipelines and working with structured data at scale.
  • 2+ years of hands-on Epic integration experience (FHIR R4, Interconnect, or App Orchard).
  • Familiarity with Epic Cogito analytics environment or Epic Clarity/Caboodle data models.
  • Experience with HL7/FHIR standards and healthcare data models.
  • Prior experience working within or directly supporting a GenAI, MLOps, or AI product team.
  • Exposure to LLM APIs, prompt engineering, or agentic workflow concepts.
  • Familiarity with cloud data platforms including Azure, AWS, or Snowflake.
  • Knowledge of additional ERP platforms such as SAP, Oracle, or Workday.

The base pay for this position is
$78,000.00 - $156,000.00
In specific locations, the pay range may vary from the range posted.
JOB FAMILY:
Product Development
DIVISION:
ONCO Cancer Diagnostics
LOCATION:
United States > Madison : 1 Exact Lane
ADDITIONAL LOCATIONS:
WORK SHIFT:
Standard
TRAVEL:
No
MEDICAL SURVEILLANCE:
Not Applicable
SIGNIFICANT WORK ACTIVITIES:
Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)
Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.
EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf
EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

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