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How much do artificial intelligence sales assistant jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for artificial intelligence sales assistant in the United States is $21.20, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $23.56 per hour, depending on experience, location, and employer.

What is an artificial intelligence sales assistant?

Artificial Intelligence Sales Assistants are AI-powered tools or software designed to help businesses improve their sales processes. They use machine learning and natural language processing to automate tasks such as lead qualification, customer communication, scheduling, and follow-up emails. These assistants can analyze customer data, predict buying behavior, and provide sales teams with insights to close deals more efficiently. Their goal is to save time, increase productivity, and enhance the overall customer experience in the sales cycle.

What skills and qualifications are needed to thrive as an artificial intelligence sales assistant?

To thrive as an Artificial Intelligence Sales Assistant, you need a strong understanding of AI concepts, sales strategies, and customer relationship management, often supported by a relevant degree or sales experience. Familiarity with CRM software, AI-powered sales tools, and data analytics platforms is typically required. Exceptional communication, problem-solving, and adaptability are important soft skills for building client trust and handling dynamic sales environments. These skills are crucial for effectively translating complex AI solutions into client value and driving business growth.

How does an artificial intelligence sales assistant typically collaborate with sales and technical teams to drive client success?

As an Artificial Intelligence Sales Assistant, you will frequently work alongside both sales representatives and technical experts to ensure that clients fully understand and benefit from AI-driven solutions. Your role often involves translating complex AI features into clear business value during client meetings, gathering client feedback, and relaying technical requirements or challenges to development teams. This collaboration helps tailor solutions to client needs and ensures seamless implementation, which is essential for building long-term client relationships and driving sales growth.

What is the difference between Artificial Intelligence Sales Assistant vs Customer Success Specialist?

AspectArtificial Intelligence Sales AssistantCustomer Success Specialist
CredentialsKnowledge of AI tools, sales techniquesCustomer service skills, industry knowledge
Work EnvironmentTech-driven sales teams, online platformsClient-facing, support-focused settings
Industry UsageTech, SaaS, AI companiesSoftware, service industries
Search & Comparison IntentSales roles involving AI toolsCustomer retention and support roles

The Artificial Intelligence Sales Assistant primarily focuses on leveraging AI tools to enhance sales processes within tech and SaaS industries. In contrast, a Customer Success Specialist emphasizes maintaining client relationships and ensuring customer satisfaction. While both roles require industry knowledge, the AI Sales Assistant is more sales and technology-oriented, whereas the Customer Success Specialist centers on customer retention and support.

What are the most commonly searched types of Artificial Intelligence Sales jobs?

The most popular types of Artificial Intelligence Sales jobs are:

What are popular job titles related to Artificial Intelligence Sales Assistant jobs?

For Artificial Intelligence Sales Assistant jobs, the most frequently searched job titles are:

Infographic showing various Artificial Intelligence Sales Assistant job openings in the United States as of September 2026, with employment types broken down into 79% Full Time, 20% Part Time, and 1% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $44,098 per year, or $21.2 per hour.

Assistant Professor of Artificial Intelligence

San Angelo, TX • On-site

Angelo State University
Colleges, Universities, and Professional Schools • 501 - 1,000 employees
Learn more about Angelo State Universityexternal

Full-time

Posted 2 days ago

New

Angelo State University rating

6.0

Company rating: 6.0 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

Job description

Posting Details
Position Information
Job Title
Assistant Professor of Artificial Intelligence
Position Number
977278, 977301
Department
Computer Science
Salary
Commensurate with qualifications and experience
Remote
No
Job Summary
The Department of Computer Science at Angelo State University invites applications for two full-time, nine-month, tenure-track Assistant Professor positions in Artificial Intelligence, beginning in August 2027. The successful candidates will support undergraduate and graduate programs in Artificial Intelligence and Computer Science through teaching, research, student mentoring, curriculum development, and service.
Applications are encouraged from candidates across the full breadth of artificial intelligence, including both software- and hardware-oriented areas. Relevant fields may include machine learning, generative AI, natural language processing, computer vision, robotics, autonomous systems, edge and embedded AI, computer architecture, AI accelerators, neuromorphic computing, and hardware-software co-design.
Each faculty member will normally teach three courses per semester, maintain an active research agenda, pursue external funding, mentor students, and contribute to interdisciplinary AI initiatives across the university. The academic appointment, tenure home, and formal evaluation pathway are within the Department of Computer Science.
Essential Duties
  1. Teach three undergraduate and/or graduate courses per semester in artificial intelligence, computer science, data science, computer engineering, or related areas, as assigned by the Department Chair.
  2. Develop and continuously improve courses, laboratories, assignments, and other instructional materials that support Artificial Intelligence and Computer Science programs.
  3. Maintain an active research and scholarly agenda in artificial intelligence or a related field, including software-, systems-, or hardware-oriented research.
  4. Develop and submit proposals for external funding and participate in externally funded research, educational, or workforce-development initiatives.
  5. Mentor undergraduate and graduate students in research, capstone projects, applied AI projects, professional development, and career preparation.
  6. Collaborate with faculty across Computer Science, Engineering, and other disciplines on AI-related research, curriculum, student projects, and institutional initiatives.
  7. Participate in departmental, college, and university service, including assessment, advising, recruitment, student success, committee work, outreach, and program development.
  8. Develop appropriate partnerships with industry, government, educational institutions, and community organizations to advance AI education, research, and workforce development.

Knowledge, Skills and Abilities
Knowledge
  • Knowledge of artificial intelligence concepts, methods, systems, and applications, with depth in one or more software-, systems-, or hardware-oriented areas.
  • Knowledge of current and emerging developments in artificial intelligence, computer science, computer engineering, or related disciplines.
  • Knowledge of effective teaching practices, student-learning assessment, curriculum development, and instructional technology.
  • Knowledge of research methods, scholarly publication, grant development, and externally funded projects.
  • Knowledge of ethical, secure, responsible, and transparent uses of artificial intelligence, including privacy, bias, reliability, and societal impact.

Skills
  • Effective teaching and student-engagement skills at the undergraduate and graduate levels.
  • Research, scholarly writing, technical presentation, and grant-development skills.
  • Skills in developing and improving curricula, courses, laboratories, assignments, and applied projects.
  • Effective written, oral, interpersonal, and technical communication skills.
  • Student mentoring, academic advising, and career-development skills.
  • Collaboration and partnership-development skills across academic disciplines, industry, government, and community organizations.

Abilities
  • Ability to teach courses in artificial intelligence, computer science, computer engineering, data science, or related areas.
  • Ability to maintain an active research agenda and produce appropriate scholarly products.
  • Ability to mentor students in research, capstone experiences, applied projects, and professional development.
  • Ability to teach effectively in face-to-face, online, or hybrid formats as assigned.
  • Ability to collaborate across Computer Science, Engineering, and other disciplines.
  • Ability to adapt teaching and research activities in response to rapidly evolving technologies and workforce needs.
  • Ability to contribute effectively to departmental, college, university, professional, and community service.

Minimum Qualifications
  • An earned doctorate in Computer Science, Artificial Intelligence, Computer Engineering, Electrical Engineering, Data Science, or a closely related field from an accredited institution or international equivalent. ABD candidates will be considered, provided the doctorate is completed no later than September 1, 2027.
  • Academic preparation and expertise appropriate for teaching undergraduate and graduate courses in Artificial Intelligence, Computer Science, Computer Engineering, or related areas.
  • Evidence of, or demonstrated potential for, effective university-level teaching and student mentoring.
  • Evidence of, or demonstrated potential for, an active research and scholarly agenda in artificial intelligence or a related software-, systems-, or hardware-oriented field.
  • Ability to contribute effectively to the instructional, research, and service missions of the Department of Computer Science and the university.

Preferred Qualifications
Physical Requirements
No physical requirements.
EEO Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, or status as a protected veteran.
In compliance with the Americans with Disabilities Act (ADA), Angelo State University is committed to providing reasonable accommodations to ensure equal access to employment opportunities for qualified individuals with disabilities. We are committed to ensuring that a qualified individual with a disability has the same rights and privileges in employment as non-disabled employees. If an accommodation is requested for the job application process, please contact our office at (325) 942-2168 or email us at hr@angelo.edu.
Posting Detail Information
Posting Number
F385P
Open Date
09/09/2026
Close Date
Desired Start Date
08/02/2027
Review Start Date
11/06/2026
Open Until Filled
Yes
Special Instructions to Applicants
Required Number of References

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