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Remote Environmental Science Jobs in Kentucky (NOW HIRING)

Senior Manager, Embodied AI

Frankfort, KY · On-site +1

$296K - $453K/yr

What You Must Have: * BS, MS, or PhD in Robotics, Computer Science, Engineering, or a related ... production environments and understanding the end-to-end process. Remote/Hybrid: This role is ...

New

Senior Manager, Embodied AI

Frankfort, KY · On-site +1

$296K - $453K/yr

What You Must Have: * BS, MS, or PhD in Robotics, Computer Science, Engineering, or a related ... production environments and understanding the end-to-end process. Remote/Hybrid: This role is ...

New

VP Engineering and R&D - AI Startup

Louisville, KY · On-site +1

$172K - $221K/yr

Privately funded, we are a fully remote company with a 100% distributed team allowing us to hire ... Master or Ph.D. in Computer Science, Mathematics, Physics, Engineering, Statistics, Operation ...

VP Engineering and R&D - AI Startup

Louisville, KY · Remote

$172K - $221K/yr

Privately funded, we are a fully remote company with a 100% distributed team allowing us to hire ... Master or Ph.D. in Computer Science, Mathematics, Physics, Engineering, Statistics, Operation ...

Mechanical Engineer Lead

Lexington, KY · On-site +1

$30 - $96.15/hr

... remote work environment * Opportunity to lead impactful natural gas infrastructure projects ... About Actalent Actalent is a global leader in engineering and sciences services and talent ...

Mechanical Engineer

Lexington, KY · On-site +1

$30 - $96.15/hr

... remote work environment * Opportunity to lead impactful natural gas infrastructure projects ... About Actalent Actalent is a global leader in engineering and sciences services and talent ...

Become a part of our caring community (Remote in posted locations) We are seeking a hands-on ... Experience in regulated enterprise environments with audit, compliance, change management, and ...

Become a part of our caring community (Remote in posted locations) We are seeking a hands-on ... Experience in regulated enterprise environments with audit, compliance, change management, and ...

Become a part of our caring community (Remote in posted locations) We are seeking a hands-on ... Experience in regulated enterprise environments with audit, compliance, change management, and ...

... life sciences environment, including pharma, biotech, medical device, or clinical * Experience ... This compensation range is specific to a remote role and takes into account the wide range of ...

... life sciences environment, including pharma, biotech, medical device, or clinical * Experience ... This compensation range is specific to a remote role and takes into account the wide range of ...

Showing results 21-40

Remote Environmental Science information

See Kentucky salary details

$35.6K

$73.1K

$106.8K

How much do remote environmental science jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote environmental science in Kentucky is $73,063.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $85,500.00 per year, depending on experience, location, and employer.

What is a remote environmental science job?

A remote environmental science job is a position that allows professionals to work from locations outside of a traditional office or laboratory setting, often from home or while traveling. These roles typically involve tasks such as data analysis, report writing, remote sensing, consulting, and environmental monitoring using digital tools. Remote environmental scientists contribute to research, policy, and project management without needing to be physically present at field sites, although occasional site visits may be required. This flexibility allows for better work-life balance and can open opportunities to collaborate with global teams. Remote roles are increasingly common as technology enables more scientific work to be conducted virtually.

How do remote environmental science professionals typically collaborate with field teams and other stakeholders?

Remote environmental science professionals often rely on digital communication tools, such as video conferencing, cloud-based data sharing, and collaborative project management platforms, to stay connected with field teams and stakeholders. They may participate in regular virtual meetings to discuss project updates, analyze collected data, and coordinate research activities. Effective communication and strong organizational skills are essential to ensure alignment and successful project outcomes, even when team members are dispersed across different locations. Building strong professional relationships remotely and staying proactive in communication helps overcome challenges associated with working outside a traditional office or field setting.

What are the key skills and qualifications needed to thrive as a remote environmental scientist, and why are they important?

To thrive as a Remote Environmental Scientist, you need a solid background in environmental science, data analysis, and report writing, usually supported by a relevant degree. Familiarity with GIS software, remote sensing tools, and environmental modeling systems is typically required, along with certifications like GIS Professional (GISP) or LEED accreditation. Strong communication, problem-solving, and self-management skills are crucial for collaborating with remote teams and stakeholders. These competencies enable effective environmental assessments, data-driven decision-making, and successful project outcomes from a remote work environment.

What is the difference between Remote Environmental Science vs Remote Environmental Technician?

AspectRemote Environmental ScienceRemote Environmental Technician
Required CredentialsBachelor's or higher in environmental science or related field; certifications varyAssociate's or bachelor's in environmental technology or related field; certifications may include safety or technical training
Work EnvironmentPrimarily office-based or remote; fieldwork may be occasionalMostly remote with some field site visits or technical tasks
Employer & Industry UsageEnvironmental consulting firms, government agencies, research institutionsEnvironmental service companies, government agencies, industrial firms
Common Search & ComparisonRemote Environmental ScienceRemote Environmental Technician

Remote Environmental Science roles focus on research, data analysis, and environmental planning, often requiring higher education and offering more analytical responsibilities. In contrast, Remote Environmental Technicians handle technical tasks, site assessments, and field data collection, typically with technical certifications. Both roles are vital in environmental projects but differ in scope, credentials, and daily tasks.

What are the most commonly searched types of Environmental Science jobs in Kentucky?

The most popular types of Environmental Science jobs in Kentucky are:

What are popular job titles related to Remote Environmental Science jobs in Kentucky?

For Remote Environmental Science jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Remote Environmental Science jobs in Kentucky look for?

The top searched job categories for Remote Environmental Science jobs in Kentucky are:

What cities in Kentucky are hiring for Remote Environmental Science jobs?

Cities in Kentucky with the most Remote Environmental Science job openings:

Infographic showing various Remote Environmental Science job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $73,063 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 16 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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