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Online Ai In Education Jobs (NOW HIRING)

The Pennsylvania State University

Teaching and learning with AI in K-12, higher education, and informal/community settings ... If you are unable to use our online application process due to an impairment or disability, please ...

Pathways In Education

Special Education Teacher

Mesa, AZ

$49K - $65K/yr

... online courses, and experiential learning, to address each student's individual strengths and needs. Are you an educator that wants to make an impact in students' lives? Do you believe that every ...

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How much do online ai in education jobs pay per year?

As of Aug 12, 2026, the average yearly pay for online ai in education in the United States is $82,499.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,000.00 and $91,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Online AI in Education specialist, and why are they important?

To thrive as an Online AI in Education Specialist, you need expertise in educational technology, AI concepts, and instructional design, often supported by a degree in education or computer science. Familiarity with learning management systems (LMS), AI-powered educational tools, and data analytics platforms is typically required. Strong communication, problem-solving, and adaptability are crucial soft skills for collaborating with educators and addressing diverse learning needs. These skills ensure effective integration of AI technologies to enhance educational outcomes and support personalized learning.

What is an Online AI in Education specialist?

An Online AI in Education specialist is a professional who leverages artificial intelligence technologies to enhance teaching, learning, and administrative processes in educational settings. They design, implement, and manage AI-driven tools such as adaptive learning platforms, automated grading systems, and personalized content delivery solutions. Their work aims to improve student engagement, streamline administrative tasks, and provide data-driven insights to educators. These specialists often collaborate with teachers, school administrators, and technology providers to ensure that AI solutions are effective, ethical, and aligned with educational goals.

How do professionals in Online AI in Education typically collaborate with educators to implement AI-driven solutions in classrooms?

Professionals working in Online AI in Education often collaborate closely with teachers, instructional designers, and school administrators to understand classroom needs and tailor AI-driven tools accordingly. They may participate in workshops, pilot programs, and regular feedback sessions to ensure the technology enhances learning outcomes and is user-friendly for both students and educators. This collaborative approach helps ensure that AI solutions are pedagogically sound, align with curriculum goals, and are adaptable to diverse learning environments. Such teamwork not only supports successful implementation but also fosters ongoing innovation and professional development.
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Online Ai In Education jobs near you
Infographic showing various Online Ai In Education job openings in the United States as of August 2026, with employment types broken down into 59% Full Time, and 41% Part Time. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $82,499 per year, or $39.7 per hour.

Adjunct Instructor in Generative AI in Clinical Decision Support

Brandeis University

Brandeis, CA

$6.5K/mo

Part-time

Re-posted 5 days ago

Job description

Brandeis University's Online Health Informatics Program is seeking an Adjunct Faculty member for RHIN 175 Generative AI in Clinical Decision Support for the Fall-2 2026 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Health Informatics.

This course includes an examination of Large Language Models (LLMs) and generative artificial intelligence (AI) for clinical support: pilot design, prompt engineering, validation, safety, monitoring, and regulatory considerations. The course will also teach students how to assess deployment and impacts of AI in clinical workflows.

Core Course Responsibilities Summary

  • Course Logistics and Facilitation: Focuses on the organized and timely rollout of course content, maintaining consistent communication through weekly announcements, and ensuring all instructional activities occur within university-approved digital platforms.

  • Instructor Presence and Engagement: Centers on building an active teaching persona by hosting live introductory sessions, facilitating weekly academic discourse in forums, and maintaining regular availability for student consultation.

  • Individual Feedback and Grading: Emphasizes the professional obligation to provide transparent, rubric-based evaluations and supportive commentary on student work within a standardized weekly timeframe.

  • Professional Conduct and Standards: Requires adherence to university communication protocols, the promotion of respectful online "netiquette," and ensuring the course meets accessibility and technical visibility standards before and during the term.

Qualifications:

  • Required:

    • Advanced degree (Master's or Ph.D.) in Computer Science, Health Informatics, Data Science, Engineering, or a related field

    • Strong knowledge of AI fundamentals and its application to healthcare in addition to a strong grasp of the ethical implications of its usage

    • Minimum of 3 years of professional experience in developing and deploying real-world AI solutions

    • Proficiency in a programming language (e.g. Python, R)

    • At least 1 year of teaching or training experience (preferably online/asynchronous)

    • Experience with online instruction

    • Excellent communication and teaching skills in an online learning environment.

  • Preferred:

    • Prior online teaching experience at the graduate level

    • Knowledge of global learner personas and culturally responsive pedagogy

    • Familiarity with Moodle LMS and digital authoring tools (e.g., H5P)

Interested candidates should submit:

A cover letter highlighting relevant qualifications and teaching experience.

A current CV or resume.

Contact information for three professional references.

Application review begins June 1, 2026 though we will continue to accept submissions on an ongoing basis.

This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509.

Compensation for this positon is: $6573.15

Pay Range Disclosure

The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.

Equal Opportunity Statement

Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").

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