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Ai In Education Jobs (NOW HIRING)

Leland

AI for Finance Coach

... career and educational dreams * Work in a collaborative, high-energy environment where your ... Operate in a fast-paced, AI-native environment * We don't hire people who merely want to work for a ...

Leland

AI for Sales & Marketing Coach

... career and educational dreams * Work in a collaborative, high-energy environment where your ... Operate in a fast-paced, AI-native environment * We don't hire people who merely want to work for a ...

Leland

AI for Data & Analytics Coach

... career and educational dreams * Work in a collaborative, high-energy environment where your ... Operate in a fast-paced, AI-native environment * We don't hire people who merely want to work for a ...

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Ai In Education information

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$59.5K

$71.7K

$85K

How much do ai in education jobs pay per year?

As of Jul 5, 2026, the average yearly pay for ai in education in the United States is $71,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $77,000.00 per year, depending on experience, location, and employer.

What is AI in education?

AI in education refers to the use of artificial intelligence technologies to enhance teaching, learning, and administrative processes in educational settings. This includes personalized learning platforms, intelligent tutoring systems, automated grading, and data-driven insights to support student progress. AI can help educators identify students' strengths and weaknesses, provide tailored resources, and improve overall learning outcomes. It also streamlines administrative tasks, allowing teachers to focus more on instruction and student engagement.

What is the difference between Ai In Education vs Educational Data Analyst?

AspectAi In EducationEducational Data Analyst
Required CredentialsDegree in Education, Computer Science, or related fields; knowledge of AI toolsDegree in Education, Statistics, Data Science, or related fields; proficiency in data analysis
Work EnvironmentEducational institutions, EdTech companies, online platformsSchools, districts, research organizations, EdTech firms
Industry UsageDeveloping AI tools for personalized learning, adaptive assessmentsAnalyzing educational data to improve learning outcomes and policies
Common Search/ComparisonYesYes

While both roles involve working within the education sector, Ai In Education focuses on developing and implementing AI technologies to enhance learning experiences. Educational Data Analysts primarily analyze educational data to inform decisions and improve educational strategies. Both roles require a background in education and data or AI skills, but their core functions differ in application and focus.

How does an AI in Education specialist typically collaborate with teachers and curriculum designers?

AI in Education specialists often work closely with teachers and curriculum designers to understand classroom needs and learning goals. They provide insights on integrating AI tools that personalize learning experiences, automate administrative tasks, and analyze student performance data. Frequent communication and collaborative workshops help ensure that AI solutions are practical, user-friendly, and aligned with educational standards. This teamwork not only enhances the learning process but also supports educators in adopting new technologies with confidence.

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

To thrive as an AI in Education Specialist, you need expertise in educational theory, instructional design, and a strong foundation in artificial intelligence or machine learning, often supported by a degree in education, computer science, or a related field. Familiarity with learning management systems (LMS), AI-powered educational tools, and programming languages such as Python is typically required. Strong communication, problem-solving, and adaptability are vital soft skills for collaborating with educators and designing impactful learning solutions. These skills ensure the effective integration of AI technologies in educational environments, enhancing student learning outcomes and supporting innovative teaching practices.
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Ai In Education jobs near you
Infographic showing various Ai In Education job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 19% Full Time, 76% Part Time, 2% Temporary, and 1% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $71,666 per year, or $34.5 per hour.
Adjunct Instructor in Generative AI in Clinical Decision Support

Adjunct Instructor in Generative AI in Clinical Decision Support

Brandeis University

Waltham, MA • On-site

$6.5K/mo

Part-time

Posted 13 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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