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Llm Trainer Jobs in Racine, WI (NOW HIRING)

Jobtailor

Senior MLOps Engineer

Menomonee Falls, WI · On-site

$120 - $190/hr

... model serving, training environments, and orchestration systems * Contribute to the Machine ... Experience with agent-based or agentic AI systems, including autonomous workflow or LLM-driven ...

New

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 ...

Deloitte

Tax Manager - Private Wealth

Milwaukee, WI

$109K - $143K/yr

In this role, you'll take on a broader leadership footprint by training, mentoring, and supervising ... Advanced degree such as MST, MAcc, JD, or LLM * Prior Big 4 or large CPA firm experience * Strong ...

Deloitte

Tax Manager - Federal / Corporate Tax

Milwaukee, WI · On-site

$109K - $143K/yr

Advanced degree such as Masters of Tax, JD, and/or LLM * Solid understanding with accounting for ... and training; licensure and certifications; and other business and organizational needs. The ...

Deloitte

Tax Senior - Private Wealth

Milwaukee, WI

$80K - $99K/yr

Advanced degree such as MST, JD, or LLM * Prior Big 4 experience * Strong verbal and written ... and training; licensure and certifications; and other business and organizational needs. The ...

TransPerfect

SEO Team Lead

Milwaukee, WI · On-site

... GEO/LLM) within their assigned region (Americas & LATAM OR EMEA & APAC). This role oversees a ... Ensure a clear training agenda and/or SMART objectives for the development of every team member

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$14

$34

$86

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:

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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.

Manager, Data Science - Personalization & Recommendation Systems

Jobtailor

Menomonee Falls, WI • On-site

$150 - $190/hr

Other

Posted yesterday

New

Job description

  • Manage, coach, develop, retain, and assess data scientists
  • Partner with product, engineering, and design leads to use data-driven insights for decisions, goals, prioritization, and team objectives
  • Lead end-to-end data science projects from problem formulation through model deployment
  • Oversee experiments addressing targeted business questions
  • Drive continuous improvement of key business metrics
  • Translate data science outputs into business outcomes and delivered value
  • Build strong business partner relationships and promote adoption of data science capabilities
  • Monitor data science and technology trends and identify high-return investment opportunities
  • Design and support deployment of machine learning models for personalized digital experiences
  • Build and optimize recommendation and ranking systems balancing relevance, discovery, conversion, and revenue
  • Develop multi-stage ranking systems with candidate generation and re-ranking
  • Address cold-start and long-tail challenges in large product catalogs
  • Partner with engineering on real-time personalization and scalable deployment
  • Perform additional assigned tasks
Requirements
  • Experience with personalization & recommendation systems, search, or ranking problems at scale of millions of customers and products
  • Experience developing sequential, transformer models and utilizing LLM models in production
  • Understanding of collaborative filtering and learning-to-rank methods
  • Experience optimizing models for GPU / distributed training
  • Familiarity with large-scale datasets and production ML systems
  • Exposure to real-time or low-latency serving environments
  • Experience with vector search / ANN methods (e.g., FAISS, ScaNN) preferred
  • Experience delivering end-to-end customized ML models in production environments
  • Expertise in developing and deploying state-of-the-art algorithms using machine learning, statistical, and optimization methods
  • Expert in modern analytics tools, programming languages, and cloud platforms such as Python, R, Spark, SQL, GCP
  • Strong problem-solving skills with an emphasis on product development
  • Experience proposing rapid experiments and iterating based on results
  • Proven success guiding teams through unstructured technical problems
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or equivalent quantitative field
  • 5+ years of progressively complex data science experience, or 2+ years with a Master’s degree
  • 2+ years of managerial or leadership experience in data science or analytics organizations
  • Retail experience preferred
  • Marketing models preferred
Core Competencies

Demonstrates expertise in managing and developing data science teams while delivering end-to-end machine learning solutions. Proficient in leveraging data-driven insights to drive business outcomes and optimize recommendation systems at scale.

Highest-signal resume keywords
  • Machine Learning Model Development
  • Personalization & Recommendation Systems
  • Data Science Team Leadership
  • End-to-End Project Management
  • Statistical & Optimization Methods
Hard Skills
  • Python
  • R
  • Spark
  • SQL
  • GCP
  • Collaborative Filtering
  • Learning-to-Rank Methods
  • GPU Optimization
  • Vector Search
  • ANN Methods
Soft Skills
  • Problem-Solving
  • Coaching
  • Collaboration
  • Communication
  • Team Development
Industry Keywords
  • Data Science
  • Retail Experience
  • Marketing Models
  • Statistical Analysis
  • Quantitative Field
Tools & Technologies
  • Machine Learning Frameworks
  • Analytics Tools
  • Real-Time Serving Environments
  • Large-Scale Datasets
  • Production ML Systems
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