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Ai In Education Jobs (NOW HIRING)

Develop validation systems of AI models development in education * Meet the specific needs of K-12 educational settings * Coordinate with the Director and core faculty on project priorities and ...

AI/ML Engineer

San Francisco, CA · On-site

$155K - $205K/yr

We're moving fast: we ship weekly, test directly with kids, and push the boundaries of what AI can do in education. About the role We're looking for an AI/ML Engineer to join our product engineering ...

AI/ML Engineer

San Francisco, CA · On-site

$120 - $150/hr

We're moving fast: we ship weekly, test directly with kids, and push the boundaries of what AI can do in education. About the role We're looking for an AI/ML Engineer to join our product engineering ...

NY · On-site

$58.30 - $152/hr

Develop, lead, and grow a coherent research program in learning sciences, education technology, AI in education, or a closely related area * Establish a strategic research agenda with clear ...

New tools for understanding AI and learning outcomes * Education for countries * Advancements in higher education * Early product work - Introducing Study Mode About the Role We're looking for a ...

EDSI's mission encompasses three primary objectives: 1. Accelerating cutting-edge research that leverages data science and AI to address critical issues in education and advance education equity and ...

Showing results 21-40

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 Sep 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.

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.

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.

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States with the most job openings for Ai In Education jobs include:

Infographic showing various Ai In Education job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $71,666 per year, or $34.5 per hour.

Full-time

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Key responsibilities

  • Lead the development and implementation of a university-wide AI strategy aligned with CUNY's mission and priorities.

  • Establish and oversee an Office of Artificial Intelligence to coordinate AI initiatives, build capacity, and serve as a center of excellence.

  • Partner with academic departments to integrate AI into curricula, support AI literacy initiatives, and promote responsible AI use.


Research Foundation of the City University of New York rating

7.8

Company rating: 7.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

145th of 785 rated non-profit organizations


Job description

Thank you for considering a career with the Research Foundation of The City University of New York (RFCUNY)! We are thrilled that you are interested in exploring opportunities to join our team.

Primary Location:

OFFICE OF EXEC VC & UNIVERSITY PROVOST

Bargaining Unit:

No

The Office of the Executive Vice Chancellor and University Provost oversee all academic policies governing the University's 25 institutions offering 2844 academic programs, including 325 associates degrees, 1310 bachelor's degrees, 797 master's degrees, 95 certificates, 360 advanced certificates, and 71 doctoral degrees. In a single integrated system, the Office is responsible for the strategic leadership, development and implementation of university-wide initiatives aimed at raising academic quality, improving student success, and providing New Yorkers with equal access to quality education. The Office of Academic Innovation, a division within this overarching Office of Academic Affairs (OAA), leads system-wide change initiatives focused on leveraging new and emerging academic tools and technologies to enhance the academic ecosystem, scale online education through CUNY Online, and serves all OAA units supporting their strategic goals through procurement and business process improvement.

Reporting to the Senior University Dean for Academic Innovation and serving on the Executive Vice Chancellor's Cabinet, the Executive Director will lead CUNY's efforts to advance AI in teaching, learning, research, and administrative academic practice to ensure that all innovations align with the University's mission, ethical principles, and regulatory standards. The Executive Director of Artificial Intelligence (AI) will provide strategic leadership and oversight for the responsible and innovative integration of AI across OAA, including, but not limited to, Enrollment Management, Student Affairs, Libraries, Registrar, Graduate and Undergraduate Programming, Research, Student Success and Opportunity Programs, and Career and Industry Partnership to provide integrated consultative resources, assess AI resource needs, align needs to existing tools and identify high level use cases for new tools, while ensuring alignment with university policies and practice; also enhancing CUNY's broader CUNY academic ecosystem through practical applications of AI. This position will establish CUNY as a national leader in academic AI strategy by fostering a culture of collaboration, inclusion, and continuous learning around AI literacy and applications.

Key Responsibilities:

Strategic Leadership Vision

  • Execute a comprehensive university-wide AI strategy aligned with CUNY's mission, academic priorities, and commitment to access and equity, and in support of OAA's existing goals such as enhancing student success, supporting faculty, nurturing innovative research, maintaining a competitive advantage, and partnering with city, state, non-profit and industry groups.

  • Establish and lead an Office of Artificial Intelligence within OAA to coordinate initiatives, build institutional capacity, and serve as a center of excellence for AI strategy and implementation.

  • Serve as a trusted advisor to university leadership, providing guidance on emerging AI trends, risks, and opportunities across academic and administrative domains.

AI Governance, Ethics, and Policy

  • Develop, manage, and evolve governance frameworks, protocols, policies, and best practices to ensure the ethical, transparent, and equitable use of AI in education, research, and academic administrative work.

  • Ensure compliance with data privacy laws, accessibility standards, and state and federal regulations.

  • Lead efforts to strengthen accountability and risk mitigation related to AI technologies.

Academic Integration and Innovation

  • Partner with campuses, faculty, and academic departments to integrate AI and related AI/AI-enhanced technologies into curricula, pedagogy, and experiential learning opportunities.

  • Coordinate workshops, trainings, events that support AI staff and leaders to adopt AI meaningfully and responsibly

  • Lead AI literacy initiatives to ensure all students, faculty, and staff develop foundational understanding and responsible use of AI tools.

  • In partnership with our Office of Research, support faculty research and innovation by identifying funding opportunities, developing partnerships, and promoting interdisciplinary collaboration using AI.

Collaboration and Partnership Building

  • Leverage existing partnerships and collaborations with industry, nonprofit, and government sectors to advance applied AI projects that benefit CUNY and New York communities.

  • Serve as a University liaison to external organizations and represent CUNY in local, state, and national conversations about AI in higher education.

  • Convene systemwide committees or working groups to coordinate AI-related initiatives, share resources, and align campus-level innovation with university goals.

  • Collaborate across OAA, and with other CUNY offices such as Procurement, General Counsel, and Computer Information Services (CIS).

Operational Excellence and Capacity Building

  • Evaluate and document AI use cases across OAA and map infrastructure or service needs.

  • Coordinate AI infrastructure implementation with OAII, CIS, and OAA stakeholders.

  • Lead cross-functional project teams through the full lifecycle of AI initiatives from ideation to deployment ensuring measurable outcomes and ethical compliance.

  • Support professional development programs that promote AI readiness across CUNY's workforce, with an emphasis on academic affairs staff.

Community and Societal Impact

  • Identify opportunities to leverage CUNY's AI capabilities to promote digital inclusion, support community engagement, and drive positive social change.

  • Explore and guide pathways for the responsible public dissemination of AI-related research.

Minimum Qualifications:

  • Master's degree in Artificial Intelligence, Computer Science, Data Science, Educational Technology, or a related field.

  • At least 7 years of progressively responsible experience in AI strategy, innovation, or digital transformation, with 3 years in a senior leadership role in higher education, government, or a comparable mission-driven organization.

  • Demonstrated expertise in AI technologies and their ethical, regulatory, and social implications.

  • Proven ability to lead cross-functional teams and drive organizational change in complex environments.

  • Exceptional communication, facilitation, and stakeholder engagement skills, with experience presenting to executive leadership or boards.

  • Commitment to diversity, equity, inclusion, and accessibility in technology adoption and implementation.

Preferred Qualifications:

  • Doctorate (Ph.D. or equivalent) in a relevant discipline.

  • Experience developing and implementing AI policies, governance frameworks, or institutional strategies within higher education.

  • Demonstrated success in securing grants or partnerships to advance AI research or educational innovation.

  • Experience in curriculum design, faculty development, or AI literacy training.

  • Familiarity with data governance, privacy, cybersecurity, and compliance in academic settings.

  • Background in project or change management methodologies (e.g., PMP, Prosci).

  • Ability to engage with external partners, industry leaders, and policymakers to advance institutional AI goals.

Pay Range:

$160,000 - $200,000

RFCUNY Benefits
RFCUNY Employee Benefits and Accruals

Equal Employment Opportunity Statement
The Research Foundation of the City University of New York is an Equal Opportunity/Affirmative Action/Americans with Disabilities Act/E-Verify Employer. It is the policy of the Research Foundation of CUNY to provide equal employment opportunities free of discrimination based on race, color, age, religion, sex, pregnancy, childbirth, national origin, disability, marital status, veteran status, sexual orientation, gender identity, genetic information, marital status, domestic violence victim status, arrest record, criminal conviction history, or any other protected characteristic under applicable law.


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