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Ai Language Training Jobs in Wisconsin (NOW HIRING)

Drive the implementation of no-code/low-code AI agent options, providing the training for business ... language while influencing stakeholders and driving adoption without direct authority.

Drive the implementation of no-code/low-code AI agent options, providing the training for business ... language while influencing stakeholders and driving adoption without direct authority.

On-the-job/cross-training opportunities * Encouraging and collaborative team environment ... natural language interfaces for building operations * Build and maintain data pipelines, model ...

On-the-job/cross-training opportunities * Encouraging and collaborative team environment ... natural language interfaces for building operations * Build and maintain data pipelines, model ...

On-the-job/cross-training opportunities * Encouraging and collaborative team environment ... natural language interfaces for building operations * Build and maintain data pipelines, model ...

Showing results 21-40

Ai Language Training information

What is an AI language training?

An AI Language Training job involves training, evaluating, and improving AI language models to enhance their accuracy and effectiveness. Professionals in this role work on providing high-quality linguistic data, refining model responses, and ensuring AI-generated content aligns with human expectations. Tasks may include annotating text, reviewing AI outputs, and implementing feedback to optimize language models. This job often requires strong language skills, attention to detail, and familiarity with AI-driven communication tools.

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

To excel in AI Language Training, you need a strong background in linguistics, natural language processing (NLP), and machine learning, often supported by a degree in computer science, computational linguistics, or a related field. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and experience with annotation tools or dataset management are typically required. Attention to detail, problem-solving skills, and effective communication are important soft skills for refining models and collaborating with cross-functional teams. These qualifications ensure that language models are accurately trained, continuously improved, and aligned with real-world use cases.

What are some common challenges faced in an AI language training role?

Professionals in AI Language Training often encounter challenges such as handling ambiguous or noisy language data, ensuring model outputs are both accurate and unbiased, and staying updated with rapid advancements in AI research. Balancing data quality with scalability and collaborating across multidisciplinary teams to define linguistic requirements can also present complexities. However, these challenges make the work dynamic and intellectually stimulating, offering continuous learning opportunities and the chance to significantly impact the performance of AI-powered language systems.

What are the most commonly searched types of Ai Language Training jobs in Wisconsin?

The most popular types of Ai Language Training jobs in Wisconsin are:

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

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

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

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

What cities in Wisconsin are hiring for Ai Language Training jobs?

Cities in Wisconsin with the most Ai Language Training job openings:

Infographic showing various Ai Language Training job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 15% Part Time, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

AI Solutions Lead

Briggs & Stratton

Wauwatosa, WI • On-site

Full-time

Posted 10 days ago


Job description

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As an Enterprise AI Product Owner your goal is to serve as a high-impact functional IT leader responsible for identifying and engineering enterprise AI and Agentic solutions that reduce business complexity through process standardization and technical innovation. This role serves as the adoption catalyst for the organization's AI strategy, driving growth initiatives and improving quality and operational efficiency through the delivery of AI enabled cross-functional systems. Beyond technical delivery, this leader is responsible for evangelizing AI capabilities and mentoring teams to accelerate the widespread adoption of AI-driven innovation throughout the organization.
#LI-LB1 #LI-Hybrid
You will do this by:
  • Lead discovery sessions with stakeholders to translate complex business challenges into actionable requirements for Agentic AI and predictive analytics.
  • Design and deploy production-grade Autonomous Agents and multi-agent orchestrations to solve multi-step business problems.
  • Design and engineer Agentic AI integrations that sit on top of legacy architecture, specifically optimizing and automating workflows within manufacturing execution and ERP ecosystems like SAP across supply chain and product lifecycle modules.
  • Architect and scale production-ready AI models and multi-agent systems primarily using Google Cloud Platform (GCP) or equivalent enterprise cloud environments.
  • Serve as a Project Manager for AI initiatives, identifying high-value opportunities and securing the IT resource capacity needed for successful implementation.
  • Act as the technical champion for AI literacy; host workshops and "Demo Days" to showcase engineered solutions and drive culture-wide AI-first thinking.
  • Drive the implementation of no-code/low-code AI agent options, providing the training for business users to build governed tools.
  • Develop detailed technical specifications, ensuring AI outputs are contextually relevant and technically sound.
  • Ensure AI solutions are seamlessly integrated into existing workflows; establish performance benchmarks and conduct human-in-the-loop validation for accuracy and safety.
  • Implement technical guardrails to ensure all AI solutions comply with security frameworks, focusing on data privacy, hallucination mitigation, and ethical AI usage.

The above statements are intended only to describe the general nature of the job and should not be construed as an all-inclusive list of position responsibilities.
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You are the type of person who is/has:
  • Strategic & Innovation-Driven- Able to see the bigger picture and identify high-value opportunities where AI and automation can improve efficiency, standardize processes, and drive business growth.
  • Strong Communicator & Influencer- Can translate complex technical concepts into clear, business-friendly language while influencing stakeholders and driving adoption without direct authority.
  • Collaborative Leader & Mentor- Naturally guides cross-functional teams, facilitates workshops, and fosters an AI-first culture by mentoring others and encouraging innovation.
  • Analytical Problem Solver- Comfortable breaking down complex business challenges, designing practical AI-driven solutions, and balancing both technical and operational considerations.
  • Domain-Savvy Architect - Deeply understands the operational friction points within manufacturing, supply chain, and complex ERP systems, and is passionate about using AI to turn rigid backend processes into agile workflows.
  • Adaptable & Continuous Learner - Learn emerging AI technologies quickly, stay current with evolving tools and ethical considerations, and remain flexible in fast-changing technical environments.

Qualifications:
  • Bachelor's Degree in Information Technology or Related field
  • Minimum of 5 years of experience in field
  • Strong verbal and written skills to translate complex technical concepts into business-friendly language.
  • Expertise in AI concepts and delivery, including understanding deployment strategies, and ethical considerations to effectively integrate AI solutions into business processes.
  • Proven experience designing or implementing AI and automation solutions within a manufacturing environment.
  • Hands-on technical familiarity with core ERP Applications preferrably SAP, with a specific focus on Supply Chain Management (SCM), Sales, logistics, and Manufacturing.
  • Strong technical proficiency with Google Cloud Platform (GCP) AI/ML infrastructure (e.g., Vertex AI), or equivalent experience with major cloud platforms (AWS, Azure).
  • Proven ability to influence without direct authority and drive adoption of new technologies across diverse user groups.
  • Strong project management skills with experience leading strategic initiatives.
  • Proven problem solving and analytical skills to identify and propose technical and non-technical solutions.
  • Demonstrated ability to quickly learn and support new software applications.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Briggs & Stratton, headquartered in Milwaukee, Wisconsin, provides innovative products and diverse power solutions to help people get work done. Briggs & Stratton is the world's largest producer of engines for outdoor power equipment, and is a leading designer, manufacturer and marketer of lithium-ion battery, standby generator, energy storage system, lawn and turf care products through its Briggs & Stratton®, Vanguard®, Ferris®, Billy Goat®, and Branco® brands. Briggs & Stratton products are designed, manufactured, marketed and serviced in more than 100 countries on six continents.
Briggs & Stratton is committed to a policy of equal employment opportunity. The Company conducts all employment practices without regard to race, sex, color, religion, national origin, age, disability, protected veteran's status, pregnancy, genetic information, sexual orientation or any other basis prohibited by law. Briggs & Stratton also undertakes affirmative action to assure equal employment opportunity for minorities and women, for persons with disabilities, and for protected veterans.