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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

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

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 ...

Zywave

AgenticOps Engineer

WI

Produce internal documentation, guidelines, and training materials on working effectively with ... Hands-on experience building with LLM APIs (prompt design, chain-of-thought, tool use, function ...

Zywave

AgenticOps Engineer

WI · On-site +1

... training materials on working effectively with agents. • Coach Product Engineers on prompt ... Preferred • Experience with prompt evaluation frameworks, LLM observability tools (e.g ...

Bespoke Labs

Machine Learning Engineer

Racine, WI · On-site

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

Bespoke Labs

Machine Learning Engineer

Kenosha, WI · On-site

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

Bespoke Labs

Machine Learning Engineer

Milwaukee, WI · On-site

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

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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.

Principal Network Engineer

Sun Life Financial

Milwaukee, WI • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

Sun Life Assurance Company of Canada rating

8.6

Company rating: 8.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

89th of 304 rated insurance

Job description

Sun Life U.S. is one of the largest providers of employee and government benefits, helping approximately 50 million Americans access the care and coverage they need. Through employers, industry partners and government programs, Sun Life U.S. offers a portfolio of benefits and services, including dental, vision, disability, absence management, life, supplemental health, medical stop-loss insurance, and healthcare navigation. We have more than 6,400 employees and associates in our partner dental practices and operate nationwide.

Visit our website to discover how Sun Life is making life brighter for our customers, partners and communities.

Job Description:

Owner's mindset - architecture, design, continuous improvement, documentation.

The Senior Network Engineer is responsible for the design, implementation, maintenance, and optimization of enterprise network infrastructure. This role provides advanced (Tier 3) technical support and leads the delivery of complex network solutions across LAN/WAN environments.

Operating as a senior individual contributor, this role applies deep technical expertise to solve complex problems, improve system performance, and has an owner's mindset to the architecture, documentation, delivery, and continuous improvement of infrastructure initiatives. The role works independently within established standards and actively contributes to day-to-day activities and managed projects.

The ideal candidate will have strong experience designing, implementing, and supporting enterprise network infrastructure, with expertise in Cisco routing and switching technologies, WatchGuard firewalls, AWS networking services, Infrastructure as Code, and utilizing Generative Developer tools. This role will be responsible for maintaining network reliability, security, and performance across both on-premises and cloud environments.

Candidates who possess experience with certificate lifecycle management platforms, particularly Venafi, will be given additional consideration.

Key Responsibilities

  • Provide Tier 3 support for enterprise LAN/WAN environments, including routers, switches, firewalls, and network security devices
  • Design, implement, and maintain network infrastructure solutions aligned with established architectural standards
  • Troubleshoot complex network issues and drive timely resolution to ensure service stability and performance
  • Execute network changes, upgrades, and patching activities through formal change management processes
  • Optimize network performance, reliability, and cost efficiency across infrastructure components
  • Contribute to the delivery of moderately to highly complex projects, including planning, implementation, and validation
  • Partner with internal teams (e.g., security, infrastructure, application teams) to support integrated solutions
  • Design and support AWS networking solutions, including:
    • Amazon VPCs
    • Transit Gateway
    • Direct Connect
    • Site-to-Site VPN
    • Route Tables and Network ACLs
    • Security Groups
    • Load Balancing and Hybrid Connectivity
  • Document network designs, configurations, procedures, and support models to ensure operational continuity
  • Provide technical guidance and mentorship to junior team members and support knowledge sharing within the team

Qualifications

Required

  • 5+ years of experience in network engineering within enterprise environments
  • Current AWS Certified Advanced Networking - Specialty certification
  • Strong hands-on experience with:
    • Cisco routing and switching (IOS, Nexus, enterprise hardware platforms)
    • Network protocols (e.g., BGP, MPLS, EIGRP)
    • Administering and troubleshooting WatchGuard firewall solutions, VPNs, and network security technologies
  • Advanced proficiency in Infrastructure as Code (IaC) using Terraform or AWS CloudFormation, paired with experience utilizing Generative AI developer tools (e.g., Amazon Q, Amazon Bedrock, or AI coding assistants) to accelerate code generation, automate network compliance validation, and scale CI/CD network deployment pipelines
  • Deep expertise designing and optimizing high-performance AWS cloud network architectures tailored for AI/ML workloads.
    • Demonstrated ability to configure and scale data-transfer pipelines to Amazon S3 and compute clusters, managing high-bandwidth, ultra-low-latency traffic patterns.
    • Knowledge of advanced networking protocols and mechanisms for AI data clusters (e.g., congestion control protocols, minimizing packet loss, and maximizing throughput) to support seamless Large Language Model (LLM) training and inference deployments
  • Experience supporting and maintaining large-scale LAN/WAN environments
  • Strong troubleshooting, diagnostic, and problem-solving capabilities
  • Knowledge of Zero Trust and modern network security architectures
  • Experience with change management and operational support processes
  • Strong written and verbal communication skills
  • Bachelor's degree or equivalent experience

Preferred

  • Cisco or security certifications (e.g., CCNP, CCIE, CCSE)
  • Experience with network security tools (IDS/IPS, SIEM, proxies, etc.)
  • Experience with Venafi certificate lifecycle management and PKI administration.
  • Exposure to virtualization environments (e.g., VMware)

Salary Range: $70,300 - $105,500
At our company, we are committed to pay transparency and equity. The salary range for this role is competitive nationwide, and we strive to ensure that compensation is fair and equitable. Your actual base salary will be determined based on your unique skills, qualifications, experience, education, and geographic location. In addition to your base salary, this position is eligible for a discretionary annual incentive award based on your individual performance as well as the overall performance of the business. We are dedicated to creating a work environment where everyone is rewarded for their contributions.

Not ready to apply yet but want to stay in touch? Join our talent community to stay connected until the time is right for you!

We are committed to fostering an inclusive environment where all employees feel they belong, are supported and empowered to thrive. We are dedicated to building teams with varied experiences, backgrounds, perspectives and ideas that benefit our colleagues, clients, and the communities where we operate. We encourage applications from qualified individuals from all backgrounds.

Life is brighter when you work at Sun Life

At Sun Life, we prioritize your well-being with comprehensive benefits, including generous vacation and sick time, market-leading paid family, parental and adoption leave, medical coverage, company paid life and AD&D insurance, disability programs and a partially paid sabbatical program. Plan for your future with our 401(k) employer match, stock purchase options and an employer-funded retirement account. Enjoy a flexible, inclusive and collaborative work environment that supports career growth. We're proud to be recognized in our communities as a top employer. Proudly Great Place to Work Certified in Canada and the U.S., we've also been recognized as a "Top 10" employer by the Boston Globe's "Top Places to Work" for two years in a row. Visit our website to learn more about our benefits and recognition within our communities.

We will make reasonable accommodations to the known physical or mental limitations of otherwise-qualified individuals with disabilities or special disabled veterans, unless the accommodation would impose an undue hardship on the operation of our business. Please email thebrightside@sunlife.comto request an accommodation.

For applicants residing in California, please read our employee California Privacy Policy and Notice.

We do not require or administer lie detector tests as a condition of employment or continued employment.

Sun Life will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including applicable fair chance ordinances.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Category:

IT - Technology Services

Posting End Date:

28/08/2026

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