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Logistics Artificial Intelligence Jobs (NOW HIRING)

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Logistics Artificial Intelligence information

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How much do logistics artificial intelligence jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for logistics artificial intelligence in the United States is $21.85, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $24.04 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a logistics artificial intelligence specialist, and why are they important?

To thrive as a Logistics Artificial Intelligence Specialist, you need a strong background in logistics operations, data analysis, and AI/machine learning principles, often supported by a relevant degree in computer science, engineering, or supply chain management. Familiarity with programming languages (such as Python or R), AI frameworks (like TensorFlow or PyTorch), and logistics management systems (TMS, WMS, ERP) is essential. Critical thinking, problem-solving, and effective communication are vital soft skills for designing innovative solutions and collaborating with cross-functional teams. These skills are crucial for leveraging AI to optimize supply chain processes, drive efficiency, and maintain a competitive edge in logistics operations.

How does a logistics artificial intelligence specialist typically collaborate with other departments within a supply chain organization?

A Logistics Artificial Intelligence specialist often works closely with teams such as operations, IT, procurement, and customer service to implement AI-driven solutions that improve efficiency and accuracy. They may analyze data provided by operations managers, coordinate with IT for system integration, and communicate insights to decision-makers to optimize routes, inventory, and delivery processes. Effective collaboration is key, as the specialist must understand the needs and workflows of each department to tailor AI models that address real-world logistics challenges. Regular meetings, cross-functional project teams, and clear communication channels are common practices in this role.

What is the difference between Logistics Artificial Intelligence vs Logistics Data Analyst?

AspectLogistics Artificial IntelligenceLogistics Data Analyst
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI and machine learningDegree in Data Analytics, Statistics, or related fields; proficiency in data analysis tools
Work EnvironmentTech-driven logistics companies, AI development teams, automation projectsLogistics firms, supply chain departments, data analysis teams
Employer & Industry UsageUsed to develop predictive models, optimize routes, automate decision-makingUsed to interpret data, generate reports, support operational decisions

While both roles involve working with data in logistics, Logistics Artificial Intelligence focuses on developing AI systems and algorithms to automate and optimize logistics processes. In contrast, Logistics Data Analysts interpret data to inform decisions but do not typically develop AI models. Both roles are essential in modern supply chain management but serve different functions within the industry.

What is a logistics artificial intelligence specialist?

Logistics Artificial Intelligence jobs involve applying AI technologies to optimize and automate logistics processes such as supply chain management, inventory tracking, route planning, and demand forecasting. Professionals in this field work on developing, implementing, and managing AI-driven solutions that improve efficiency, reduce costs, and enhance decision-making in logistics operations. These roles can include AI engineers, data scientists, machine learning specialists, and logistics analysts who specialize in AI applications. The growing use of AI in logistics is transforming how goods are transported, stored, and delivered across industries.
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What cities are hiring for Logistics Artificial Intelligence jobs?

Cities with the most Logistics Artificial Intelligence job openings:

What states have the most Logistics Artificial Intelligence jobs?

States with the most job openings for Logistics Artificial Intelligence jobs include:

What job categories do people searching Logistics Artificial Intelligence jobs look for?

The top searched job categories for Logistics Artificial Intelligence jobs are:

Infographic showing various Logistics Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 68% Full Time, 27% Part Time, 4% Contract, and 1% Nights. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $45,453 per year, or $21.9 per hour.

Endowed Chair in Artificial Intelligence Research

Texas State University

San Marcos, TX • On-site

Full-time

Re-posted 20 days ago


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6.3

Company rating: 6.3 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

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Job description

Posting Information
Posting Information
Position Title
Endowed Chair in Artificial Intelligence Research
Job Posting Number
2026078TTL
Job Location
San Marcos
Department
Office of the Provost and EVPAA
Position Description
Texas State University seeks applications for an endowed chair at the rank of Professor to conduct research on any aspect of Artificial Intelligence. Texas State University seeks to establish a leadership position in Artificial Intelligence to complement existing research strengths in interdisciplinary applications of AI, interdisciplinary applications of AI, machine learning, computer vision, efficiency and responsible-use research. Texas State is also home to the Center for Analytics and Data Science (TXST CADS), an interdisciplinary hub for data-intensive research, education and outreach. Texas State University hosted a town hall on January 29 to discuss areas of impact for hiring in Artificial Intelligence research and to bring together the dynamic Artificial Intelligence research community.
Texas State University receives a full share of the Texas University Fund (TUF) and plans to invest funds in recruitment and substantial start-up support for strategic hires with established research programs and active external funding in historic and emerging areas of research strength, including Artificial Intelligence.
We seek to hire dynamic and innovative scholars with an exceptionally strong research record supported by external funding. An applicant's scholarly focus should complement and enhance the Artificial Intelligence scholarship and teaching strengths of Texas State, such as:
  • AI Systems and Infrastructure.
  • AI Ethics, Policy and Governance.
  • AI Across the Disciplines.
  • AI in Healthcare and Medicine.
  • AI in Communication and Digital Media.
  • AI in Supply Chain and Logistics.
  • AI in Manufacturing.
  • AI in Environmental and Sustainability Applications.
  • AI in Law and Criminal Justice.

Responsibilities:
  • Seek external funding and coordinate interdisciplinary grants with both internal and external collaborators.
  • Conduct and publish original research on Artificial Intelligence.
  • Lead interdisciplinary collaboration with faculty across the university.
  • Develop and maintain an active research agenda.
  • Teach undergraduate and graduate courses on Artificial Intelligence and related subjects.
  • Mentor and advise students.
  • Contribute to the development of the Artificial Intelligence curriculum.
  • Participate in service activities at the department, college, and university levels.

The successful candidate will join the department(s) appropriate to their area of scholarly focus. The successful candidate will be expected to bring a research group supported by existing external grants and have the opportunity to negotiate additional hires in related areas to support their research.
Required Qualifications
  • Ph.D. or terminal degree.
  • Evidence of a scholarly focus and sustained record of research excellence on Artificial Intelligence.
  • Evidence of sustained record of excellence in teaching and mentoring students.
  • Evidence of a sustained record of obtaining external funding.

Preferred Qualifications
  • Evidence of activity in organizing conferences and sessions on Artificial Intelligence.
  • Experience in teaching and mentoring both undergraduate and graduate students.
  • Experience supporting experiential learning for undergraduate and graduate students.
  • Strong commitment to interdisciplinary collaboration.
  • Evidence of community engagement for scholarship and teaching.

Application Procedures
Applications will be considered on a rolling basis. Only applications submitted through the Texas State University website will be accepted and considered: https://jobs.hr.txstate.edu/postings/56490Interested applicants should submit the following materials:
  • A cover letter highlighting scholarly focus, publications, teaching, and external funding.
  • A detailed curriculum vitae.
  • Unofficial transcripts (all in one document).
  • The names and contact information of three references.

The selected candidate will be required to provide official transcripts from all degree granting universities.
Proposed Start Date
Fall 2026 (negotiable)
Posting Date
03/27/2026
Review Date
10/30/2026
Close Date
Open Until Filled?
Yes
Legal Notices
Texas State University is committed to a policy of non-discrimination and equal opportunity for all persons regardless of race, sex, color, religion, national origin or ancestry, age, marital status, disability, veteran status, or any other basis protected by federal or state law in employment, educational programs, and activities and admissions.
Employment with Texas State University is contingent upon the outcome of record checks and verifications including, but not limited to, criminal history, driving records, education records, employment verifications, reference checks, and employment eligibility verifications.
This position may conduct research on critical infrastructure depending on the research focus of a hire. Consistent with the requirements of the State of Texas, individuals conducting research on critical infrastructure will be subject to pre-employment, and then subsequent routine background checks/cybersecurity screenings. Employment will at all times be contingent upon the successful completion of these screenings in accordance with State and University requirements.
Reasonable Accommodation
If you experience accessibility issues or require alternative formatting during the application process due to a disability or underlying condition, we request that you contact Talent Acquisition for assistance. A representative from Talent Acquisition will respond to you as soon as possible.
Record Checks and Verifications
Employment with Texas State University is contingent upon the outcome of record checks and verifications including, but not limited to, criminal history, driving records, education records, employment verifications, reference checks, and employment eligibility verifications.
Eligibility for Employment
In accordance with federal law, all new employees must complete the Form I-9 and provide acceptable documentation verifying their identity and authorization to work in the United States. Texas State University participates in E-Verify, and employment is contingent upon the successful verification of work authorization. Employees are required to maintain valid work authorization to satisfy the conditions of Form I9 at all times during their employment and the university makes no implicit or explicit promises to financially support visa or permanent residency applications.
Why Work at Texas State?
Texas State University is a large, student-centered public research institution serving more than 40,000 students across undergraduate, graduate, and doctoral programs in San Marcos and Round Rock. Classified as a Carnegie Doctoral University with High Research Activity (R2), TXST is actively advancing its ambitious Run to R1 strategy, demonstrating sustained growth in research activity, doctoral education, and scholarly impact.
Faculty at TXST join a vibrant academic community of over 5,000 faculty and staff committed to excellence in teaching, research, and service. The university offers a collaborative, supportive environment, and interdisciplinary scholarship. Outstanding faculty are drawn to TXST for the opportunity to make a meaningful impact-advancing research, mentoring a growing student body, and helping shape the future of a rapidly growing research university.
Quick Link
https://jobs.hr.txstate.edu/postings/56490

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