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Entry Level Computer Science Artificial Intelligence Jobs in Lexington, KY

Varsity Tutors

Robotics Tutor

Lexington, KY · Remote

$18 - $40/hr

Emphasizes iterative design and engineering problem-solving and connects robotics to mechanical engineering, computer science, and artificial intelligence applications. * Curriculum Awareness ...

Lockheed Martin Corporation

Data Analyst Senior

Lexington, KY · On-site

$75K - $94K/yr

... in Computer Science, Information Systems, Data Science, Business Analytics, or a related field ... Application of data-mining, data-warehousing, machine-learning, and artificial-intelligence theory ...

Johnson Controls

Fire Alarm Installer

Lexington, KY · On-site

$24 - $34/hr

Computer Science or a related field. HIRING HOURLY RANGE: $24 - $34 hourly (Hourly rate to be ... including artificial intelligence (AI), to help identify and evaluate candidates. All hiring ...

Johnson Controls

Fire Alarm Installer

Lexington, KY

$34/hr

Computer Science or a related field. HIRING HOURLY RANGE: $24 - $34 hourly (Hourly rate to be ... including artificial intelligence (AI), to help identify and evaluate candidates. All hiring ...

Johnson Controls

Fire Alarm Installer

Lexington, KY · On-site

$24 - $34/hr

Computer Science or a related field. HIRING HOURLY RANGE: $24 - $34 hourly (Hourly rate to be ... including artificial intelligence (AI), to help identify and evaluate candidates. All hiring ...

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Entry Level Computer Science Artificial Intelligence information

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How much do entry level computer science artificial intelligence jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for entry level computer science artificial intelligence in Lexington, KY is $16.82, according to ZipRecruiter salary data. Most workers in this role earn between $15.53 and $17.21 per hour, depending on experience, location, and employer.

What is an entry level computer science artificial intelligence job?

Entry Level Computer Science Artificial Intelligence jobs are positions designed for recent graduates or individuals with limited professional experience in computer science, specifically focusing on artificial intelligence (AI). These roles typically involve assisting in the development, testing, and deployment of AI models and algorithms under the guidance of more experienced engineers or data scientists. Tasks may include data preprocessing, writing code for machine learning models, evaluating model performance, and collaborating with teams to solve real-world problems using AI. Entry-level AI jobs provide an opportunity to gain practical experience, learn industry-standard tools and frameworks, and build foundational skills for a career in artificial intelligence.

What types of projects can I expect to work on as an entry level computer science artificial intelligence professional?

As an entry-level AI professional, you’ll typically contribute to projects involving data preprocessing, model training, and algorithm implementation under the guidance of senior team members. You might work on tasks like cleaning datasets, developing and testing machine learning models, and assisting in deploying AI solutions. Collaboration with software engineers, data scientists, and product managers is common, providing you with a well-rounded introduction to real-world AI development and teamwork. These projects help you build foundational skills while gaining exposure to various AI applications and industry tools.

What are the key skills and qualifications needed to thrive as an entry level computer science artificial intelligence professional?

To excel in an entry-level AI role, you need a solid understanding of computer science fundamentals, programming languages like Python, and basic knowledge of algorithms and data structures, typically supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data analysis tools, and version control systems is highly valued. Strong problem-solving skills, curiosity, and effective teamwork set candidates apart in this field. These abilities are crucial for building robust AI solutions, adapting to technological advances, and collaborating efficiently on complex projects.

What is the difference between Entry Level Computer Science Artificial Intelligence vs Entry Level Data Science?

AspectEntry Level Computer Science Artificial IntelligenceEntry Level Data Science
Required CredentialsBachelor's in Computer Science, AI, or related fields; knowledge of programming, machine learning, and algorithmsBachelor's in Data Science, Statistics, or related fields; skills in programming, statistics, and data analysis
Work EnvironmentTech companies, research labs, startups focusing on AI applicationsBusiness, finance, healthcare, and tech firms analyzing data for insights
Employer & Industry UsageUsed in AI development, machine learning projects, and automationUsed in data analysis, predictive modeling, and business intelligence

Both roles require programming skills and a strong foundation in computer science. While AI focuses on developing intelligent systems and algorithms, data science emphasizes analyzing data to inform decisions. The choice depends on your interest in creating AI solutions versus extracting insights from data.

Can I get an entry level computer science artificial intelligence job with no experience?

Entry level computer science artificial intelligence positions often require some foundational knowledge in programming, algorithms, and machine learning, but many employers consider candidates with relevant coursework, personal projects, or certifications even without formal work experience. Building skills in languages like Python and tools such as TensorFlow can improve your chances, and internships or online courses can help demonstrate your abilities to employers.

Is artificial intelligence taking entry-level computer science jobs?

Entry-level computer science jobs involving artificial intelligence are growing as companies seek new talent with skills in machine learning, programming, and data analysis. However, competition remains high, and candidates often need foundational knowledge in programming languages like Python and familiarity with AI frameworks to succeed.

What are popular job titles related to Entry Level Computer Science Artificial Intelligence jobs in Lexington, KY?

For Entry Level Computer Science Artificial Intelligence jobs in Lexington, KY, the most frequently searched job titles are:

What job categories do people searching Entry Level Computer Science Artificial Intelligence jobs in Lexington, KY look for?

The top searched job categories for Entry Level Computer Science Artificial Intelligence jobs in Lexington, KY are:

What cities near Lexington, KY are hiring for Entry Level Computer Science Artificial Intelligence jobs?

Cities near Lexington, KY with the most Entry Level Computer Science Artificial Intelligence job openings:

Entry Level Computer Science Artificial Intelligence jobs near you
Infographic showing various Entry Level Computer Science Artificial Intelligence job openings in Lexington, KY as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 2% Contract, and 1% Nights. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $34,985 per year, or $16.8 per hour.

Asst/Associate Professor Artificial Intelligence in Agriculture

Kentucky State University

Frankfort, KY • On-site

Other

Re-posted 23 days ago

Job description

TITLE: Assistant/Associate Professor of Artificial Intelligence in Agriculture, Aquaculture, and Natural Resources

DEPARTMENT: Colleges of Agriculture, Health Sciences, and Natural Resources

REPORTS TO: Dean or Department Chair

CLASSIFICATION: Faculty

EFFECTIVE DATE: TBD

STANDARD WORK HOURS: 40 hours per week

LOCATION: On-Site-Main Campus

EMPLOYMENT STATUS: Full-Time

EMPLOYMENT CLASSIFICATION: Exempt

JOB SUMMARY:

The Assistant/Associate Professor of Artificial Intelligence (AI) in Agriculture, Agriscience, Aquaculture, and Natural Resources will lead efforts to integrate AI-driven approaches into teaching, research, and community engagement activities. The successful candidate will develop innovative methods for applying AI to address challenges in sustainable agriculture, aquaculture, environmental management, and natural resource conservation. This position directly supports Kentucky State University’s mission to serve the Commonwealth and broader community through innovative research, experiential learning, and public service.

ESSENTIAL JOB FUNCTIONS:

  • Conduct interdisciplinary research in AI applications within agriculture, agriscience, aquaculture, and natural resources.
  • Develop and teach undergraduate and graduate courses related to AI and its applications in agricultural and environmental sciences, utilizing project-based and active learning pedagogy.
  • Supervise student research projects, serve on graduate committees, and mentor students in scholarly activities.
  • Collaborate with faculty, industry partners, and community stakeholders to develop AI solutions for agricultural and environmental challenges.
  • Build institutional capacity in the application of AI and emerging technologies across the College of Agriculture, Health Sciences, and Natural Resources to enhance research, instruction, and outreach.
  • Seek and secure external funding to support research programs, equipment acquisition, and student development.
  • Publish scholarly research in peer-reviewed journals and present findings at professional conferences.
  • Lead or participate in outreach and extension initiatives that integrate AI into community programs, promoting innovation, productivity, and sustainability.
  • Participate in departmental, college, and university committees and comply with institutional policies and procedures.
    Maintain accurate records of teaching assignments, grades, and research or grant documentation in accordance with university policy.

KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:

  • Strong background in artificial intelligence, machine learning, and data analytics as applied to agricultural and environmental systems.
  • Proficiency in programming languages such as Python, R, Java, or C++, and machine learning frameworks/libraries such as Pandas, NumPy, TensorFlow, or PyTorch.
  • Knowledge of agricultural systems, aquaculture practices, and natural resource management.
  • Understanding of data ethics, responsible AI practices, and applications of AI in sustainability and public health.
  • Excellent teaching, mentoring, and written and verbal communication skills.
  • Ability to work collaboratively with diverse colleagues, students, and external partners.
  • Demonstrated experience in securing and managing research funding.

SUPERVISORY RESPONSIBILITY:

  • May provide functional supervision to graduate assistants, research interns, or student workers as assigned.

OTHER DUTIES:

  • Performs other related duties as assigned in support of the university’s mission, programs, and research initiatives.

QUALIFICATIONS:

  • Ph.D. in Artificial Intelligence, Agricultural Engineering, Computer Science, Health Informatics, or a closely related discipline.
  • Demonstrated record of research in AI applications to agriculture, natural resources, public health, health sciences, or aquaculture.
  • Evidence of teaching excellence and curriculum development at the undergraduate and/or graduate level.
  • Experience with grant writing, interdisciplinary collaboration, and applied research preferred.


The minimum qualifications for appointment to the faculty in the rank of assistant professor, in academic areas where the doctorate is the terminal degree, include the following:

  • Possession of the master’s degree in the teaching discipline or a related field and two years of full-time study beyond the master’s degree or its equivalent (a minimum of 45 semester credits).
  • Two years of full-time teaching experience in an institution accredited by one of the accrediting agencies recognized the US Dept. of Education (or its equivalent as determined by the academic unit/division, the unit supervisor, the appropriate Dean, and the Provost/Vice President for Academic Affairs). The terminal degree may substitute for experience.
  • Potential for professional growth and achievement.


The minimum qualifications for appointment to the faculty in the rank of associate professor include the following:

  • Possession of the earned doctoral degree or its equivalent.
  • Evidence of professional achievement.
  • Potential for further professional growth and achievement.
  • Five years of full-time teaching experience in an institution accredited by one of the accrediting agencies recognized by the US Dept. of Education (or its equivalent as determined by the academic unit/division, the unit supervisor, the appropriate Dean, and the Provost/Vice President for Academic Affairs).

Licensing and Certifications:

WORKING CONDITIONS:

  • Work is performed primarily in an office, classroom, and laboratory environment on the main campus.
  • Position involves frequent use of computers, laboratory equipment, and digital instructional technologies.
  • Requires extended periods of sitting, standing, or walking between offices, classrooms, or research facilities.
  • Occasional travel required for conferences, fieldwork, research, and outreach activities.
  • May occasionally work evenings or weekends to meet program, grant, or outreach obligations.
  • Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.


Applicants must be authorized to work for any employer in the United States. At this time, Kentucky State University is unable to sponsor or take over sponsorship of an employment visa

Internal candidates are encouraged to apply.


KENTUCKY STATE UNIVERSITY is an Equal Opportunity Employer

The functions, qualifications, knowledge/skills, and physical requirements listed in this job description represent the essential duties of the job, which the incumbent must be able to perform either with or without reasonable accommodation. The Job Functions listed do not necessarily include all activities that the individual may perform.