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Freelance Remote E Learning Developer Jobs in Kentucky

... engineers-and boast one of the most diverse global crowds, representing over 100 countries and ... Our remote-first team is globally distributed around the world: USA , UK , the Netherlands , Serbia ...

Navarro Research and Engineering is recruiting a Chemical Engineer (P.E.) (3946) in Paducah, KY ... This is a remote position with travel to Paducah when needed. Navarro is an award-winning provider ...

Navarro Research and Engineering is recruiting a Chemical Engineer (P.E.) (3946) in Paducah, KY ... This is a remote position with travel to Paducah when needed. Navarro is an award-winning provider ...

We value continuous learning, personal growth, and hard work, offering a collaborative environment ... We are looking for an experienced React Native Developer with 4 years of experience to join our ...

Remote Job Type: Full-time We seek a skilled and experienced Customer Communications Management ... Knowledge of scripting languages (e.g., JavaScript, VBScript). * Understanding of document ...

Remote Job Type: Full-time We are seeking an experienced OpenText Exstream Developer to join our ... Knowledge of scripting languages (e.g., JavaScript, VBScript). * Understanding of document ...

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Freelance Remote E Learning Developer information

What is the difference between Freelance Remote E Learning Developer vs E Learning Designer?

AspectFreelance Remote E Learning DeveloperE Learning Designer
CredentialsTypically requires instructional design, multimedia, or related certificationsOften holds instructional design or educational technology certifications
Work EnvironmentRemote, freelance projects for various clientsUsually employed by organizations or as freelancers, working remotely or onsite
Industry UsageUsed across education, corporate training, and e-learning companiesCommonly employed in educational institutions and corporate training teams

Both roles involve designing and developing e-learning content, often requiring similar certifications. The main difference is that Freelance Remote E Learning Developers work independently on diverse projects, while E Learning Designers may be employed full-time or freelance within organizations, focusing on instructional design and user experience.

How to become a freelance remote e learning developer?

To become a freelance remote e-learning developer, build expertise in instructional design, multimedia tools, and e-learning platforms like Articulate or Adobe Captivate. Develop a strong portfolio, gain relevant certifications if possible, and establish an online presence on freelance platforms to find clients and projects.

What are popular job titles related to Freelance Remote E Learning Developer jobs in Kentucky?

For Freelance Remote E Learning Developer jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Freelance Remote E Learning Developer jobs in Kentucky look for?

The top searched job categories for Freelance Remote E Learning Developer jobs in Kentucky are:

What cities in Kentucky are hiring for Freelance Remote E Learning Developer jobs?

Cities in Kentucky with the most Freelance Remote E Learning Developer job openings:

Infographic showing various Freelance Remote E Learning Developer job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

LLM Engineer (Remote)

Cognizant Technology Solutions

Louisville, KY • On-site, Remote

$141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Cognizant rating

7.2

Company rating: 7.2 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

52nd 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.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation 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.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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