ZipRecruiter

Log In

1

Ai In Agriculture Jobs (NOW HIRING)

next page

Showing results 1-20

All JobsAi In Agriculture Jobs

Ai In Agriculture information

See salary details

$11K

$69.5K

$117.5K

How much do ai in agriculture jobs pay per year?

As of Jul 16, 2026, the average yearly pay for ai in agriculture in the United States is $69,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,000.00 and $105,000.00 per year, depending on experience, location, and employer.

What is AI in agriculture?

AI in agriculture refers to the use of artificial intelligence technologies, such as machine learning, computer vision, and robotics, to improve farming practices and productivity. These technologies can help with tasks like crop monitoring, pest detection, yield prediction, and automated machinery operation. By analyzing large amounts of data, AI solutions enable farmers to make more informed decisions, optimize resources, and reduce environmental impact. This leads to increased efficiency and sustainability in agricultural operations.

What are the key skills and qualifications needed to thrive as an AI in Agriculture Specialist, and why are they important?

To thrive as an AI in Agriculture Specialist, you need a strong background in agriculture, data science, and programming, often supported by a degree in agricultural engineering, computer science, or a related field. Experience with machine learning frameworks (like TensorFlow or PyTorch), geographic information systems (GIS), and agricultural data platforms is typically required. Strong analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for this role. These skills are vital for developing and implementing AI-driven solutions that optimize crop yields, resource use, and overall farm productivity.

How does an AI in Agriculture professional typically collaborate with agronomists and farm managers on technology implementation projects?

AI in Agriculture professionals often work closely with agronomists and farm managers to understand real-world challenges and develop solutions tailored to specific crop, soil, and climate needs. Collaboration includes gathering field data, explaining AI model outputs, and training staff on new systems. Regular communication and feedback loops ensure that AI tools are both practical and user-friendly, leading to more successful technology adoption on farms. This teamwork approach helps bridge the gap between cutting-edge technology and daily agricultural operations.

What is the difference between Ai In Agriculture vs Agricultural Data Analyst?

AspectAi In AgricultureAgricultural Data Analyst
Required CredentialsDegree in Agriculture, Computer Science, or related fields; knowledge of AI and machine learningDegree in Agriculture, Data Science, Statistics, or related fields; proficiency in data analysis tools
Work EnvironmentFieldwork, research labs, tech companies, agricultural firmsOffice settings, research institutions, agricultural companies
Industry UsageDeveloping AI solutions for crop management, pest detection, yield predictionAnalyzing agricultural data to inform decisions, optimize processes

Ai In Agriculture focuses on developing and implementing AI technologies in farming, while Agricultural Data Analysts interpret data to support agricultural decisions. Both roles require a strong background in agriculture and data skills, but Ai In Agriculture emphasizes AI development, whereas Data Analysts focus on data interpretation and reporting.

More about Ai In Agriculture jobs
What cities are hiring for Ai In Agriculture jobs? Cities with the most Ai In Agriculture job openings:
What states have the most Ai In Agriculture jobs? States with the most job openings for Ai In Agriculture jobs include:
What job categories do people searching Ai In Agriculture jobs look for? The top searched job categories for Ai In Agriculture jobs are:
Ai In Agriculture jobs near you
Infographic showing various Ai In Agriculture job openings in the United States as of July 2026, with employment types broken down into 62% Full Time, 13% Part Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $69,500 per year, or $33.4 per hour.
Asst/Associate Professor Artificial Intelligence in Agriculture

Asst/Associate Professor Artificial Intelligence in Agriculture

Kentucky State University

Frankfort, KY • On-site

Other

Re-posted 12 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.