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Llm Trainer Jobs in Racine, WI (NOW HIRING)

Cliftonlarsonallen

Lead ML Ops Engineer

Racine, WI · On-site

$96K - $126K/yr

Oversee enterprisescale AI platforms supporting model training, inference, evaluation, monitoring ... Track and evaluate industry trends in AI platforms, LLM ecosystems, and AI operations, translating ...

Cliftonlarsonallen

Lead ML Ops Engineer

Milwaukee, WI · On-site

$101K - $133K/yr

Oversee enterprisescale AI platforms supporting model training, inference, evaluation, monitoring ... Track and evaluate industry trends in AI platforms, LLM ecosystems, and AI operations, translating ...

CliftonLarsonAllen

Lead ML Ops Engineer

Milwaukee, WI · On-site

$101K - $133K/yr

... LLM ecosystems, and AI operations, translating insights into roadmap decisions and platform ... Combination of relevant experience, education, and training may be accepted in lieu of degree.

Kiongroup

Senior AI Data Engineer

Wauwatosa, WI · On-site

$121K - $151K/yr

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Wipfli Advisory LLC

Tax Manager - Real Estate

Milwaukee, WI · Hybrid

$109K - $143K/yr

... training, and performance feedback. - Collaborate across service lines to deliver integrated ... or JD/LLM required. - 5+ years of progressive tax experience, including public accounting ...

Cliftonlarsonallen

Senior Palantir Engineer

Milwaukee, WI · On-site

$120K - $159K/yr

Combination of relevant experience, education, and training may be accepted in lieu of degree ... Experience using different LLM's. Knowledge of different models, experience working with MCP, and ...

Relativity

Adoption Services Lead

Milwaukee, WI · On-site

$164K/yr

Drive partner and service provider enablement, including "train the trainer" programs that extend ... Hands-on experience applying AI tools (e.g., LLM-based assistants, agentic or AI-native ...

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Llm Trainer information

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How much do llm trainer jobs pay per hour?

As of Aug 11, 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 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 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 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:
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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.

Senior MLOps Engineer (Remote)

KOHLS

Menomonee Falls, WI • On-site

$104K - $144K/yr

Other

Re-posted 13 days ago

Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,464 frontline employees who took The Breakroom Quiz

13th of 21 rated department stores

Job description

About the Role

As Senior MLOps Engineer, you will focus on supporting cross-functional teams in designing, deploying, and operating machine learning solutions while building scalable infrastructure, tools, and best practices across the Machine Learning Engineering (MLE) ecosystem.

What You’ll Do

  • Collaborate with Data Scientists and Engineers across the full ML lifecycle, including building and scaling ETL pipelines, deploying models into customer-facing applications, and enabling efficient model development through cloud infrastructure and tooling

  • Design, build, and maintain scalable machine learning infrastructure, including model serving (real-time and batch), training environments, and orchestration systems, with a focus on performance, scalability, and cost efficiency

  • Contribute to the roadmap for Machine Learning Engineering and Data Science tools, including developing reusable frameworks and standardized solutions to streamline model implementation

  • Partner with and support Data Scientists by enabling effective use of cloud-based tools and infrastructure, and providing technical expertise across the ML lifecycle

  • Collaborate with machine learning engineers to share knowledge, improve best practices, and foster a culture of continuous learning and development

  • Support development and maintain monitoring, alerting, and automated testing frameworks to ensure the reliability, performance, and integrity of data pipelines, models, and infrastructure

  • Develop, document, and communicate implementations and best practices across the data science lifecycle

  • Manage and communicate cloud infrastructure costs and budgets to project stakeholders

  • Stay current with GCP services and evolving best practices in Machine Learning Engineering and MLOps

  • Additional tasks may be assigned

What Skills You Have

Required

  • Experience in MLOps or DevOps practices, including building and operating production ML systems using Docker, Kubernetes, CI/CD pipelines, Git-based version control, API development, model serving (batch and real-time), and automated testing frameworks

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field

  • Experience working with Data Scientists to deploy, scale, and operationalize machine learning models in production environments

  • 3+ years of experience as a Machine Learning Engineer with a proven track record of successful project delivery

  • In-depth knowledge of cloud platform, preferably Google Cloud Platform services, particularly Vertex AI, BigQuery and Dataproc.

  • Extensive expertise with CI/CD and 

  • IaC best practices

  • Extensive knowledge of distributed computing and big data technologies like Spark, Kubeflow, Airflow and SQL

  • Extensive expertise in Python and machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)

  • Experience working in Agile environments with an emphasis on iterative development and continuous delivery

Preferred

  • Master’s Degree 

  • Proficiency in Java or other languages

  • Retail experience

  • E-commerce experience

  • 5+ years of experience in Machine Learning

  • Experience with optimization techniques and tools (e.g., Gurobi, linear programming, mixed-integer programming)

  • Experience working with agent based or agentic AI systems, including orchestration of autonomous workflows or LLM-driven agents

What Kohl's employees say

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Hours and flexibility

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