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Hourly Large Language Model Llm Jobs in Romeoville, IL

Cna

AI Security Consulting Director

Chicago, IL · Hybrid

$97K - $189K/yr

This role performs architecture and design reviews of AI, Machine Learning (ML), Generative AI (GenAI), Large Language Model (LLM), and agentic solutions; develops technology evaluation criteria for ...

Aprio

Business Intelligence Architect

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Design semantic models and data products with AI-readiness in mind-ensuring metadata quality, field descriptions, and schema consistency support large language model (LLM) integrations * Collaborate ...

Genesis10

IT Project Manager (AI)

Chicago, IL · On-site

$57.70 - $65.70/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Understanding of Large Language Model (LLM) evaluation metrics (quality, safety, latency, cost) * Experience with GenAI, agentic systems, and orchestration pipelines * Production Support Experience

Kirkland & Ellis LLP

AI Engineer II

Chicago, IL · On-site

$116K - $144K/yr

  • Medical

  • Retirement

  • PTO

Build and deploy AI models, large language model (LLM)-powered applications, and retrieval-augmented generation (RAG) pipelines across enterprise environments. * Quality & Evaluation: Create and ...

AlixPartners

CCSI Systems Senior Engineer

Chicago, IL · On-site

$107K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Support the deployment, operation, and ongoing improvement of AI-enabled platforms and large language model (LLM) services using Azure-native capabilities. * Participate in the engineering and ...

Kirkland & Ellis LLP.

AI Engineer II

Chicago, IL · On-site

$116K - $144K/yr

  • Medical

  • Retirement

  • PTO

Build and deploy AI models, large language model (LLM)-powered applications, and retrieval-augmented generation (RAG) pipelines across enterprise environments. * Quality & Evaluation: Create and ...

Jones Lang LaSalle IP, Inc.

Lead Data Scientist

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Leverage generative AI and large language model (LLM) capabilities, including agentic AI architectures, Retrieval-Augmented Generation (RAG), and prompt engineering, to build intelligent data ...

JLL

Lead Data Scientist

Chicago, IL

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Leverage generative AI and large language model (LLM) capabilities, including agentic AI architectures, Retrieval-Augmented Generation (RAG), and prompt engineering, to build intelligent data ...

Argo Group

Bilingual Claims Intake/FNOL/Triage Specialist

Chicago, IL · On-site

$18.25 - $24.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We intend to implement a Large Language Model (LLM) that will transform the way the Triage Team performs its work. This is an ideal opportunity for candidates with experience or interest in hands-on ...

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All JobsHourly Large Language Model Llm JobsHourly Large Language Model Llm Jobs in Romeoville, IL

Hourly Large Language Model Llm information

See Romeoville, IL salary details

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How much do hourly large language model llm jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for hourly large language model llm in Romeoville, IL is $24.82, according to ZipRecruiter salary data. Most workers in this role earn between $19.38 and $29.66 per hour, depending on experience, location, and employer.

What is an hourly large language model LLM?

Hourly Large Language Model (LLM) jobs are roles where individuals work with LLMs, such as ChatGPT or similar AI systems, on an hourly basis. These positions often involve tasks like data annotation, prompt engineering, AI model evaluation, or content generation. Workers may be responsible for improving AI responses, testing models, or creating training data. The 'hourly' aspect means they are paid based on the number of hours worked, rather than a fixed salary or per-project rate. Such jobs are common in tech companies, research organizations, or freelance platforms.

What are the key skills and qualifications needed to thrive as a large language model (LLM) engineer?

To thrive as a Large Language Model (LLM) Engineer, you need a solid background in machine learning, natural language processing, and programming—typically with a degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, familiarity with cloud platforms, and knowledge of model deployment tools are highly valued, along with certifications in AI or data science. Strong problem-solving skills, creativity, and effective communication help you collaborate with cross-functional teams and innovate solutions. These competencies are crucial for developing, optimizing, and scaling LLMs to meet evolving business and research needs.

What are some common challenges faced by hourly large language model (LLM) annotators and how can they be addressed?

Hourly LLM annotators often face challenges such as maintaining consistency in labeling, handling ambiguous or unclear data, and managing the repetitive nature of annotation tasks. To address these challenges, it's helpful to regularly review annotation guidelines, participate in team discussions to clarify uncertainties, and leverage available feedback from quality assurance checks. Collaborating with teammates and project managers can also provide support and ensure alignment on task expectations, making the work environment more collaborative and improving overall accuracy.

What is the difference between Hourly Large Language Model Llm vs Data Scientist?

AspectHourly Large Language Model LlmData Scientist
Required CredentialsKnowledge of AI, NLP, programming skillsDegree in Data Science, Statistics, or related field
Work EnvironmentTech companies, AI research labs, freelance projectsCorporate, consulting firms, research institutions
Industry UsageDeveloping and fine-tuning language models, AI applicationsData analysis, predictive modeling, data visualization

While both roles involve working with data and advanced technology, Hourly Large Language Model Llm focuses on developing and deploying AI language models, whereas Data Scientists analyze data to inform business decisions. The roles share skills in programming and data handling but differ in their primary objectives and work environments.

What are the most commonly searched types of Large Language Model Llm jobs in Romeoville, IL?

The most popular types of Large Language Model Llm jobs in Romeoville, IL are:

What are popular job titles related to Hourly Large Language Model Llm jobs in Romeoville, IL?

For Hourly Large Language Model Llm jobs in Romeoville, IL, the most frequently searched job titles are:

What cities near Romeoville, IL are hiring for Hourly Large Language Model Llm jobs?

Cities near Romeoville, IL with the most Hourly Large Language Model Llm job openings:

Hourly Large Language Model Llm jobs near you
Infographic showing various Hourly Large Language Model Llm job openings in Romeoville, IL as of August 2026, with employment types broken down into 1% As Needed, 54% Full Time, 39% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $51,617 per year, or $24.8 per hour.

AI Security Consulting Director

Cna

Chicago, IL • Hybrid

$97K - $189K/yr

Full-time

Re-posted 8 days ago

Job description

You have a clear vision of where your career can go. And we have the leadership to help you get there.At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.

The Consulting Director, AI Security is a hands-on technical contributor responsible for reviewing, evaluating, and validating AI initiatives across CNA's enterprise. This role performs architecture and design reviews of AI, Machine Learning (ML), Generative AI (GenAI), Large Language Model (LLM), and agentic solutions; develops technology evaluation criteria for RFIs/RFPs; and tests and validates candidate solutions against security requirements. As part of the AI Governance review process, this role is a representative of the AI Security team and provides the technical security perspective on AI threats - focusing on the technical security assessment rather than governance, risk, or compliance functions, which are owned by dedicated teams. The specialist applies deep technical expertise to identify risks in AI systems and data pipelines and recommends practical controls and remediations, partnering closely with the AI Security team, Engineering, Cloud Security, Application Security, IAM, Data Security, and AI Governance.

JOB DESCRIPTION:

Essential Duties & Responsibilities

  • Serve as the AI Security team's technical reviewer within the AI Governance review process, providing the security perspective on AI threats and risks.
  • Conduct architecture and design reviews of AI/ML, GenAI, LLM, and agentic initiatives, documenting findings, risks, and recommended controls.
  • Write andmaintaintechnology evaluation criteria for RFIs and RFPs covering AI security tooling and solutions.
  • Test,validate, and benchmark candidate AI security solutions through proofs of concept and hands-on assessments.
  • Perform threat modeling and security risk assessments of AI systems, models, and data pipelines.
  • Evaluate AI workload security across cloud environments (AWS, Google Cloud) and recommend secure configurations.
  • Apply industry standards and frameworks (e.g., NIST AI RMF, OWASP Top 10 for LLMs, MITRE ATLAS) to reviews and assessments.
  • Contribute to AI security standards, reference architectures, andbest-practiceguidance.
  • Support integration of AI security controls into SDLC, CI/CD, andDevSecOpsworkflows.
  • Assistwith vulnerability management, security monitoring, and incident readiness for AI systems.
  • Provide technical security input to Risk, Legal, and AI Governance teams to support their compliance and regulatory work.
  • Track emerging AI threats, attack techniques (e.g., prompt injection, data poisoning, model extraction), and defensive practices

Reporting Relationship

Typically reports to Director or above.

Skills, Knowledge & Abilities

  • Strong working knowledge of AI/ML, GenAI, and LLM security concepts and common attack/defense techniques.
  • Hands-on experience with security architecture and design reviews.
  • Solid understanding of cloud security (AWS, Google Cloud) and secure cloud configurations.
  • Familiarity withDevSecOpspractices and secure software development.
  • Ability to design and execute solution testing, proofs of concept, and technical validations.
  • Ability to write clear evaluation criteria, technical assessments, and review documentation.
  • Ability to translate technical risk into actionable recommendations.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work independently and manage multiple concurrent reviews.

Education & Experience

  • Bachelor's Degreerequired; relevant technical disciplines preferred.
  • 5+ years of information security experience, including exposure to cloud and AI/ML environments.
  • Hands-on experience with public cloud security (AWS, Google Cloud).
  • Relevant certifications preferred (CISSP, CCSP, GIAC, or AI/cloud security credentials).
  • Insurance or financial services experience preferred.

#LI-Hybrid

#LI-DM1

In certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role. In District of Columbia, California, Colorado, Connecticut, Illinois, Maryland, Massachusetts, New York and Washington, the national base pay range for this job level is $97,000 to $189,000 annually.Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location. CNA offers a comprehensive and competitive benefits package to help our employees - and their family members - achieve their physical, financial, emotional and social wellbeing goals. For a detailed look at CNA's benefits, please visitcnabenefits.com.


CNAutilizesAI-enabled technology during the recruiting process. For more information, please visitourcareers page.


CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contactleaveadministration@cna.com

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