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Remote Quality Engineer Jobs in Kentucky (NOW HIRING)

Wieland

Quality Assurance Manager

Louisville, KY · Remote

While this role is remote, travel to locations will be required (50% travel). At Wieland, we ... Partner cross-functionally with Operations, Engineering, Operational Excellence and Human Resources ...

Wieland

Quality Assurance Manager

Louisville, KY · Remote

While this role is remote, travel to locations will be required (50% travel). At Wieland, we ... Partner cross-functionally with Operations, Engineering, Operational Excellence and Human Resources ...

WIELAND

Quality Assurance Manager

Louisville, KY · Remote

While this role is remote, travel to locations will be required (50% travel). At Wieland, we ... Partner cross-functionally with Operations, Engineering, Operational Excellence and Human Resources ...

ASSA ABLOY

Lead Software Engineer

Nicholasville, KY · On-site +1

This role works closely with internal engineering teams, remote IT resources, external consultants, contractors, and software support partners to deliver scalable, secure, and high-quality connected ...

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Remote Quality Engineer information

See Kentucky salary details

$39.1K

$73K

$103.4K

How much do remote quality engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote quality engineer in Kentucky is $72,990.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $80,800.00 per year, depending on experience, location, and employer.

What is a remote quality engineer?

A Remote Quality Engineer is responsible for ensuring the quality and reliability of products or services while working remotely. They develop and execute test plans, identify defects, and collaborate with development teams to improve processes. Their role may involve automation testing, performance testing, or software validation, depending on the industry. Strong analytical skills, attention to detail, and knowledge of quality assurance methodologies are essential.

What does a remote quality engineer do?

A typical day for a Remote Quality Engineer involves reviewing requirements, designing and executing test cases, logging defects, and collaborating with developers and product managers via virtual meetings and online tools. You may also spend time analyzing test results, automating repetitive tests, and verifying bug fixes in different environments. Communication is key, so regular updates and status reports are often shared through team platforms like Slack or Jira. This role is dynamic and may require adapting to evolving project priorities while maintaining high-quality deliverables.

What are the key skills and qualifications needed to thrive as a remote quality engineer?

To thrive as a Remote Quality Engineer, you need a solid background in quality assurance principles, software testing methodologies, and a relevant engineering or computer science degree. Familiarity with automated testing frameworks (like Selenium or JUnit), defect tracking systems, and certifications such as ISTQB or Six Sigma are often expected. Exceptional problem-solving abilities, attention to detail, self-motivation, and effective remote communication skills set top candidates apart. These capabilities are vital for maintaining product quality, collaborating across distributed teams, and ensuring continual process improvement from a distance.

Can remote quality engineers work from home?

Remote quality engineers can work from home, as many companies allow this role to be performed virtually. They typically use tools like test management software, collaboration platforms, and require strong communication skills to coordinate with teams remotely.

Is a remote quality engineer still in demand?

Remote quality engineers are in high demand as companies prioritize software quality and remote work flexibility. Skills in automation tools, testing frameworks, and continuous integration are especially valuable in this role, which often requires collaboration across distributed teams.

Is there a demand for a remote quality engineer?

There is strong demand for remote quality engineers across various industries, as companies seek professionals skilled in testing, automation tools, and quality assurance processes. The role often requires knowledge of programming, testing frameworks, and certifications like ISTQB, with many organizations offering flexible remote work arrangements.

What are the most commonly searched types of Quality Engineer jobs in Kentucky?

The most popular types of Quality Engineer jobs in Kentucky are:

What are popular job titles related to Remote Quality Engineer jobs in Kentucky?

For Remote Quality Engineer jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Remote Quality Engineer jobs in Kentucky look for?

The top searched job categories for Remote Quality Engineer jobs in Kentucky are:

What cities in Kentucky are hiring for Remote Quality Engineer jobs?

Cities in Kentucky with the most Remote Quality Engineer job openings:

Remote Quality Engineer jobs near you
Infographic showing various Remote Quality Engineer job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 10% Part Time, 7% Temporary, 3% Contract, and 1% Nights. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $72,990 per year, or $35.1 per hour.

LLM Engineer (Remote)

Cognizant Technology Solutions

Louisville, KY • On-site, Remote

$141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 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.
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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