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Llm Trainer Jobs in Racine, WI (NOW HIRING)

Johnson Controls

Ai Engineer

Milwaukee, WI · On-site

On the job/cross training opportunities * Encouraging and collaborative team environment ... You build the pipelines, tooling, and applications that turn AI and LLM models into dependable ...

Johnson Controls

Ai Engineer

Milwaukee, WI · On-site

On the job/cross training opportunities * Encouraging and collaborative team environment ... You build the pipelines, tooling, and applications that turn AI and LLM models into dependable ...

Johnson Controls

AI Engineer

Glendale, WI · On-site +1

On-the-job/cross-training opportunities * Encouraging and collaborative team environment ... Develop LLM-powered features including operator copilots, intelligent alarm management, and natural ...

Pwc

AI Engineer

Milwaukee, WI · On-site

$50K - $112K/yr

... training and/or progressively responsible work experience in Engineering with AI and Machine ... LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation ...

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Llm Trainer information

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How much do llm trainer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for llm trainer in Racine, WI is $34.61, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $49.57 per hour, depending on experience, location, and employer.

What is an LLM trainer?

An LLM Trainer is responsible for training and fine-tuning large language models (LLMs) to improve their accuracy, efficiency, and relevance for specific applications. This role involves curating and preprocessing training data, designing training methodologies, and evaluating model performance. LLM Trainers work closely with data scientists, engineers, and researchers to optimize models for tasks such as natural language understanding, text generation, and conversational AI. They also ensure ethical AI practices by mitigating biases and refining model outputs.

What does an LLM trainer do?

LLM Trainers are responsible for designing and refining training datasets, developing prompts, evaluating model outputs, and working closely with engineers and data scientists to optimize large language models. Common challenges include maintaining data quality, mitigating model biases, and staying up-to-date with rapidly evolving AI research and best practices. You’ll often collaborate with cross-functional teams, communicate findings clearly, and adapt to new tools or methodologies. This dynamic environment offers opportunities for innovation and skill development, making it an excellent fit for those passionate about advancing AI technology.

What skills and qualifications are needed to be an LLM trainer?

To thrive as an LLM Trainer, you need a deep understanding of natural language processing (NLP), machine learning principles, and data annotation techniques, often supported by a background in computer science or related fields. Familiarity with tools like Python, PyTorch or TensorFlow, data labeling platforms, and version control systems is essential, along with knowledge of prompt engineering and model fine-tuning. Strong analytical thinking, attention to detail, and collaborative communication skills are crucial soft skills for working with cross-functional AI teams. These competencies are important for developing high-quality language models that meet user needs and industry standards.

What are the most commonly searched types of Llm Trainer jobs in Racine, WI?

The most popular types of Llm Trainer jobs in Racine, WI are:

What job categories do people searching Llm Trainer jobs in Racine, WI look for?

The top searched job categories for Llm Trainer jobs in Racine, WI are:

What cities near Racine, WI are hiring for Llm Trainer jobs?

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Llm Trainer jobs near you
Infographic showing various Llm Trainer job openings in Racine, WI as of August 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $71,987 per year, or $34.6 per hour.

Ai Engineer

Johnson Controls

Milwaukee, WI • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 days ago

Johnson Controls rating

8.0

Company rating: 8.0 out of 10

Based on 416 frontline employees who took The Breakroom Quiz

137th of 546 rated manufacturers

Job description

Build your best future with the Johnson Controls team
Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education.
For more than 140 years, Johnson Controls has delivered performance where it really matters. Backed by advanced technology, lifecycle services and an industry-leading field organization, we elevate customer performance, turn goals into real-world results and help move society forward.
What we offer:
  • Competitive salary
  • Paid vacation/holidays/sick time
  • Comprehensive benefits package including 401K, medical, dental, and vision care
  • On the job/cross training opportunities
  • Encouraging and collaborative team environment
  • Dedication to safety through our Zero Harm policy

Johnson Controls International (JCI) is seeking an AI Engineer to join our innovative and impact-driven Data Science and Analytics team. This role is ideal for an engineer who combines solid software, data, and ML engineering skills with hands-on Generative AI experience-and a data scientist's curiosity for how models behave. You build the pipelines, tooling, and applications that turn AI and LLM models into dependable production software.
As an AI Engineer, you will independently own the end-to-end delivery of defined AI projects-from data pipeline through deployed application. You will make sound technical decisions within your scope, partner directly with cross-functional stakeholders, and guide junior engineers on specific problems as you deliver measurable business value.
How you will do it
Generative AI Systems & Applications
  • Develop and deploy Generative AI systems and LLM-powered applications (e.g., GPT, Claude, LLaMA) for use cases such as enterprise search, document summarization, and conversational AI.

  • Apply prompt engineering, fine-tuning, and orchestration techniques to adapt foundation models for domain-specific applications.

  • Build agentic workflows and task-specific AI agents-using Palantir AIP or the Microsoft Agent Framework-that orchestrate tools, retrieval, and reasoning.

  • Evaluate and improve model outputs for accuracy, relevance, latency, and cost, applying data science techniques to measure and validate performance.

Data, ML & Software Engineering
  • Build and maintain the data pipelines that feed AI systems-ingestion, transformation, and ETL across structured and unstructured sources (e.g., Snowflake, Azure).

  • Develop and operate ML pipelines and MLOps workflows-training, evaluation, deployment, and monitoring-using CI/CD, containerization (Docker), and model serving.

  • Build reusable components, services, and APIs around AI models that help the team ship features faster.

  • Implement retrieval and embedding workflows (RAG, vector databases) for scalable, accurate knowledge retrieval.

  • Apply software engineering best practices-testing, version control, and code review-across your projects.

Business Impact & Stakeholder Communication
  • Partner with cross-functional stakeholders to translate business challenges into AI solutions.

  • Support workshops and proofs-of-concept that demonstrate the value of LLM and agent use cases across business units.

  • Translate model outputs, data findings, and technical tradeoffs into clear insights for non-technical audiences.

Mentorship & Collaboration
  • Guide junior engineers on specific technical problems and code quality.

  • Contribute to design discussions and technical decisions within the team.

  • Share knowledge and help raise the bar on engineering and data science practices.

Qualifications & Experience
  • Education in Computer Science, Software Engineering, Data Engineering, Data Science, or a related technical or quantitative discipline.

  • 2-5 years of experience in software, data, ML engineering, or data science, including hands-on work with LLMs or generative AI.

  • Demonstrated success delivering data or ML pipelines and AI/ML solutions to production.

  • Experience with data science fundamentals-exploratory analysis, statistical modeling, or classic ML (classification, regression, forecasting).

  • Experience with cloud AI platforms such as Azure OpenAI/Azure ML, AWS SageMaker/Bedrock, or Google Cloud Vertex AI.

Technical Expertise
  • Strong proficiency in Python and SQL, with good software engineering habits-testing, version control, and clean code.

  • Hands-on experience with the Generative AI stack: prompt engineering, fine-tuning (e.g., LoRA), LLM orchestration, and agent frameworks (LangChain, Semantic Kernel, Microsoft Agent Framework).

  • Experience building ETL and ML pipelines and applying MLOps practices (CI/CD, Docker, model serving).

  • Familiarity with data science libraries and workflows-pandas, scikit-learn, and model evaluation and experimentation.

  • Experience with JCI's stack-or comparable platforms-including Palantir AIP, Azure ML, Microsoft Agent Framework, Power Automate, and Snowflake.

  • Working knowledge of embeddings, vector databases, and retrieval systems.

Soft Skills
  • Ability to own projects and communicate progress, risks, and tradeoffs clearly.

  • Strong collaboration skills across product, engineering, and business teams.

  • Comfortable presenting technical and analytical work to both technical and non-technical stakeholders.

  • Self-directed problem solver who manages priorities independently.

Preferred Qualifications
  • Experience with IoT, edge analytics, or smart building systems.

  • Familiarity with LLMOps, LangChain, Semantic Kernel, or similar orchestration frameworks.

  • Data science depth-statistical modeling, experimentation, or deep learning (forecasting, computer vision, or NLP).

  • Experience with the Microsoft ecosystem (Microsoft 365 Copilot, SharePoint, Power Platform, Snowflake).

  • Knowledge of data privacy and governance considerations for enterprise LLM usage.

Additional Information
Work Location & Arrangement: Glendale, WI, hybrid
Sponsorship: Johnson Controls will not sponsor applicants for work visas or provide immigration-related employment sponsorship for this position, now or in the future.
HIRING SALARY RANGE: $85,000 - $110,000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, location and alignment with market data.) The posted salary range reflects the target compensation for this role. However, we recognize that exceptional candidates may bring unique skills and experiences that exceed the typical profile. If you believe your background warrants consideration beyond the stated range, we encourage you to apply. To support an efficient and fair hiring process, we may use technology assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. This position includes a competitive benefits package. For details, please visit the About Us tab on the Johnson Controls Careers site at https://jobs.johnsoncontrols.com/about-us
Johnson Controls International plc. is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, genetic information, sexual orientation, gender identity, status as a qualified individual with a disability or any other characteristic protected by law. To view more information about your equal opportunity and non-discrimination rights as a candidate, visit EEO is the Law. If you are an individual with a disability and you require an accommodation during the application process, please visit here.

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About Johnson Controls

Sourced by ZipRecruiter

Johnson Controls is a world leader in smart buildings, creating safe, healthy and sustainable spaces. For nearly 140 years, we’ve made buildings better and now we’re transforming them again with our award-winning digital technologies and services. We’re using artificial intelligence and data driven solutions to give you deeper insight into your building’s health, sustainability and performance. It’s changing the way we design, operate and maintain indoor environments and driving to a new era of autonomous buildings. We deliver the blueprint of the future for industries such as healthcare, schools, data centers, airports, stadiums, hotels, manufacturing and beyond through OpenBlue, our comprehensive suite of connected solutions. Johnson Controls offers the world’s largest portfolio of building technology, software and services. Supported by a team of more than 100,000 dedicated employees working across 150 countries, we’re helping customers achieve their sustainability goals and power their mission.

Industry

Machinery manufacturing, water transportation, public safety statistics centers and offices and manufacturing

Company size

10,000+ Employees

Headquarters location

Milwaukee, WI, US

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