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Hourly Large Language Model Llm Jobs in Kentucky

Cognizant

LLM Engineer (Remote)

Louisville, KY · On-site

$100 - $125/hr

LLM Engineer About the role As LLM Engineer , you will make an impact by designing, building, optimizing, and deploying Large Language Model (LLM) and Small Language Model (SLM) solutions that power ...

CACI International Inc.

$150 - $200/hr

Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc ... Large Language Models and experience identifying ways to incorporate them into new areas and ...

Infosys Limited

$150 - $200/hr

Generative AI and Large Language Model (LLM) based solutions * Predictive and prescriptive Machine Learning models * Computer Vision * Natural Language Processing (NLP) and Conversational AI

Koniag Services, Inc.

$150 - $200/hr

The ideal candidate is a technically proficient and strategically minded professional with hands-on experience implementing AI-powered solutions, including large language model (LLM) platforms such ...

Yakamconsulting

$150 - $200/hr

Utilize Large Language Models (LLMs) such as GPT-3, BERT, or similar, for various NLP tasks ... Utilize NLP and LLM techniques to extract insights, sentiment analysis, entity recognition, and ...

Machine Intelligence Technologies, LLC

$100 - $125/hr

... large language model (LLM) implementation, and statistical analysis for predictive and analytical solutions. * Bachelor's degree in Computer Science, Data Engineering or a related field. * Excellent ...

CVS Health Corporation

$150 - $200/hr

... and Large Language Model (LLM) solutions in production environments. This individual will ... hourly rate or base annual full-time salary for all positions in the job grade within which this ...

Intone Networks Inc.

$83 - $124/hr

Experience with Large Language Model (LLM) development frameworks (e.g., LangChain, Haystack) The role operates Monday through Friday during normal working hours. Formal education is not specifically ...

New

JPMorgan Chase & Co.

$150 - $200/hr

Design, develop, and deploy agentic systems using Large Language Models (LLM), machine learning and other AI solutions that meet success metrics aligned with business goals, while considering ...

Soteria Reinsurance Ltd.

$150 - $200/hr

The role will focus on developing and evaluating AI‑based solutions using natural language processing (NLP), large language models (LLM), machine learning (ML), knowledge graphs, agentic AI ...

Bright MLS, Inc.

$150 - $200/hr

... and large language model (LLM) approaches. * Apply predictive and quantitative analysis, data mining, and experimentation to develop strategies for our product, reporting, and research teams.

Moveworks

$200 - $250/hr

The ML infra team covers a variety of responsibilities including distributed training and inference pipeline for large language models(LLM), model evaluation and monitoring framework, LLM latency ...

Belcan Corporation

$150 - $200/hr

Experience with Large Language Model (LLM) development frameworks (e.g. LangChain, Haystack) Belcan is an equal opportunity employer. Your application and candidacy will not be considered based on ...

New

Central Strategies, LLC

$150 - $200/hr

Experience developing Generative AI and Large Language Model (LLM) solutions. * Experience with Retrieval Augmented Generation (RAG) architecture. * Hands-on experience using Databricks to develop ...

Koniag Services, Inc.

$125 - $150/hr

The ideal candidate is a hands‑on engineer with demonstrated experience integrating AI‑powered solutions -- including Perplexity AI and related large language model (LLM) technologies -- into ...

Mundelein Elementary School District 75

$125 - $150/hr

At least 1 year of professional experience in the Generative AI domain, specifically working with Large Language Models (LLM). * Advanced proficiency in Python for carrying out AI research and ...

Eightelevengroup

$100 - $125/hr

... large language model (LLM) frameworks. You will take ownership of technical requirements, determine implementation approaches, and help move AI solutions from development into production. The broader ...

Caterpillar Brazil

$125 - $150/hr

At least 1 year of professional experience in the Generative AI domain, specifically working with Large Language Models (LLM). * Advanced proficiency in Python for carrying out AI research and ...

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Hourly Large Language Model Llm information

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 Kentucky?

The most popular types of Large Language Model Llm jobs in Kentucky are:

What are popular job titles related to Hourly Large Language Model Llm jobs in Kentucky?

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

What job categories do people searching Hourly Large Language Model Llm jobs in Kentucky look for?

The top searched job categories for Hourly Large Language Model Llm jobs in Kentucky are:

What cities in Kentucky are hiring for Hourly Large Language Model Llm jobs?

Cities in Kentucky with the most Hourly Large Language Model Llm job openings:

Hourly Large Language Model Llm jobs near you

LLM Engineer (Remote)

Cognizant

Louisville, KY • On-site

$100 - $125/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Cognizant rating

7.0

Company rating: 7.0 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

59th of 72 rated business consultants

Job description

LLM Engineer

About the role

As LLM Engineer, you will make an impact by designing, building, optimizing, and deploying Large Language Model (LLM) and Small Language Model (SLM) solutions that power the enterprise Agent Factory. You will be a valued member of the AI Engineering team and work collaboratively with data scientists, platform engineers, product teams, and business stakeholders to deliver scalable, production-ready generative AI capabilities.

In this role, you will:

  • Design, build, fine-tune, deploy, and optimize LLM and SLM solutions for enterprise-scale use cases.
  • Develop and maintain supervised fine-tuning, model adaptation, and evaluation pipelines.
  • Apply advanced model optimization techniques including LoRA, QLoRA, distillation, quantization, and model compression to improve performance and efficiency.
  • Assess commercial, open-source, and internally hosted foundation models based on quality, cost, scalability, and operational requirements.
  • Collaborate with cross-functional teams to support domain-specific AI solutions using approved enterprise datasets and best practices for responsible AI.
Work model:

We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in Louisville, KY. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

*Please note that this position is not eligible for visa transfer or sponsorship now or at any time in the future*

What you need to have to be considered
  • 7+ years of experience in Software Engineering, AI Engineering, Machine Learning Engineering, Platform Engineering, or a related technical discipline.
  • 2+ years of hands‑on experience developing and deploying Generative AI, LLM, SLM, or Agentic AI solutions in production environments.
  • Experience building enterprise-grade AI applications utilizing LLMs, Retrieval-Augmented Generation (RAG), prompt engineering, APIs, and cloud or on-premises platforms.
  • Strong understanding of model fine‑tuning, adaptation, evaluation frameworks, and AI quality measurement methodologies.
  • Proficiency in machine learning development, model deployment, and MLOps best practices.
  • Experience working with Python and modern AI/ML frameworks and tools.
These will help you stand out
  • Knowledge of AI infrastructure, GPU optimization, and large-scale model serving.
  • Experience implementing model governance, responsible AI, and evaluation frameworks.
  • Familiarity with vector databases, embedding models, and advanced RAG architectures.
  • Experience building enterprise AI platforms, multi-agent systems, or agent orchestration frameworks.
Salary and Other Compensation:

Applications will be accepted until September 17th, 2026.

The annual salary for this position is between $ 81,337 to $141,500 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long‑term/Short‑term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

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