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Ai In Education Jobs in Michigan (NOW HIRING)

Lead AI Engineer

Birmingham, MI · On-site

$97K - $128K/yr

Summary As a Lead AI Engineer you will be a critical member in executing our AI development ... Required Education and Experience * Bachelor's degree or similar work experience . * CS/DS/EE/CE ...

Lead AI Engineer

Birmingham, MI · On-site

$97K - $128K/yr

Summary As a Lead AI Engineer you will be a critical member in executing our AI development ... Required Education and Experience * Bachelor's degree or similar work experience . * CS/DS/EE/CE ...

Lead AI Engineer

Birmingham, MI · On-site

$97K - $128K/yr

Summary As a Lead AI Engineer you will be a critical member in executing our AI development ... Required Education and Experience * Bachelor's degree or similar work experience. * CS/DS/EE/CE ...

Prior experience developing or applying rubrics in scientific or educational contexts. * Experience with AI, machine learning, or annotation projects related to biology or microbiology. * Advanced ...

Prior experience developing or applying rubrics in scientific or educational contexts. * Experience with AI, machine learning, or annotation projects related to biology or microbiology. * Advanced ...

Prior experience developing or applying rubrics in scientific or educational contexts. * Experience with AI, machine learning, or annotation projects related to biology or microbiology. * Advanced ...

Prior experience developing or applying rubrics in scientific or educational contexts. * Experience with AI, machine learning, or annotation projects related to biology or microbiology. * Advanced ...

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Ai In Education information

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.

What are the most commonly searched types of Ai In Education jobs in Michigan?

The most popular types of Ai In Education jobs in Michigan are:

What job categories do people searching Ai In Education jobs in Michigan look for?

The top searched job categories for Ai In Education jobs in Michigan are:

What cities in Michigan are hiring for Ai In Education jobs?

Cities in Michigan with the most Ai In Education job openings:

Infographic showing various Ai In Education job openings in Michigan as of August 2026, with employment types broken down into 74% Full Time, 15% Part Time, and 11% Contract. Highlights an 89% In-person, and 11% Remote job distribution.

Assistant or Associate Professor in AI, Biodiversity, and Society School for Environment and Sustain

University of Michigan

Ann Arbor, MI • On-site

Full-time

Re-posted 22 days ago


University Of Michigan rating

8.1

Company rating: 8.1 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

162nd of 618 rated colleges and universities


Job description

Description
The School for Environment and Sustainability (SEAS) at the University of Michigan invites applicants for a full-time, nine-month, tenure-track Assistant/Associate Professor in Artificial Intelligence, Biodiversity, and Society beginning Fall 2025. The position is part of a two-position cluster hire in Artificial Intelligence for Sustainability using cutting edge technologies to address questions at the intersection of society and the environment. The second position is in AI and Sustainable Systems: http://apply.interfolio.com/156525
We seek a candidate whose teaching and research interests focus on understanding the drivers of change in biodiversity and the implications of those changes for ecosystems and societies, using cutting edge AI techniques to advance their research. Importantly, we are seeking candidates who have an interest in using their research to help solve real-world sustainability challenges. Areas of interest include, but are not limited to, the human influence on biodiversity patterns and processes, biodiversity and ecosystem services, and reciprocal interactions between biodiversity and society. Preference will be given to a candidate that demonstrates the ability to (i) use or develop AI methodologies, (ii) innovatively handle big and heterogeneous datasets to decipher complex patterns, and (iii) address the ethics of AI in their research and teaching.
Qualifications
Candidates must have a Ph.D. in geography, ecology, computer science, engineering, environmental science, or other fields bringing AI analytical approaches to understanding the relationships between biodiversity and society. Candidates must have a strong record of scholarly publication, evidence of teaching potential in a multidisciplinary setting, as well as activities demonstrating a potential for and/or trajectory towards national and international recognition. Priority will be given to applicants whose research programs complement or align with one or more current research strengths in SEAS (e.g., environmental justice, sustainable systems, ecosystem science and management).
SEAS's mission is to contribute to the protection of the Earth's resources and the achievement of a sustainable and just society. The School contributes new scientific knowledge, visionary leadership, and trained professionals toward that end. The faculty of the School is diverse, with natural scientists, social scientists, engineers, and designers working collaboratively in an integrative setting. A professional school set within a major research university, SEAS provides a model of interdisciplinary and applied research and a focal point of research, teaching and societal engagement on sustainability. The School focuses on key cross-cutting sustainability themes, including climate and energy; water; food, land use, and agriculture; conservation and restoration; and cities, the built environment, and mobility. There are many opportunities for research collaborations through institutes such as the Michigan Institute for Data & AI in Society and the Institute for Global Change Biology.
The School offers a Ph.D. as well as both research and professional M.S. degrees in seven specializations: ecosystem science and management; geospatial data science; sustainable systems; environmental policy and planning; behavior, education and communication; environmental justice; and sustainability and development. The School also offers a Master's degree in Landscape Architecture (M.L.A.). The student body includes over 500 M.S./M.L.A. and 60 doctoral students. SEAS also co-manages an undergraduate Program in the Environment and participates in dual master degree programs with the Schools of Architecture and Urban Planning, Business, Engineering, Law, Public Health, and Public Policy. Additional information about the School can be found at www.seas.umich.edu.
The successful candidate will be expected to:
  1. Develop a widely recognized research program that attracts external funding and contributes to the interdisciplinary mission of the School;
  2. Support SEAS's teaching mission at both graduate and undergraduate levels, including mentoring and supervising doctoral and master's students;
  3. Contribute to the stewardship of SEAS, the University, relevant professions and society through service, collaboration and engagement.

The position will be filled at the assistant professor (tenure-track) or associate professor (tenured) level.
Application Instructions
Applications should include (1) a cover letter; (2) CV; (3) a concise personal statement describing your vision and plans for research, teaching and societal engagement; (4) a one-page statement that showcases a demonstrated commitment to diversity efforts, and (5) a list of three names of academic references with contact information.
Employment will require both a criminal background check and an institutional reference check
regarding any misconduct. Candidates will be required to submit a self-disclosure form as well as
an authorization to release information form.
To apply, submit application materials via Interfolio: http://apply.interfolio.com/156521
Review of applications will begin on November 15, 2024 and continue until the position is filled. SEAS hopes to appoint a faculty member to this position to begin Fall 2025.
At SEAS we are committed to creating and maintaining an inclusive and equitable environment that respects diverse experiences, promotes generous listening and communications, and discourages and restoratively responds to acts of discrimination, harassment, or injustice. Our commitment to diversity, equity and inclusion is deeply rooted in our values for a sustainable and just society.

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About University of Michigan

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The University of Michigan (U-M), based in Ann Arbor, MI, US, is one of America's most esteemed institutions in higher education. Established in 1817, it presides in the industry of education and research, providing a range of services including undergraduate, graduate, and professional education programs. Complementing this is an extensive research activity that has significantly contributed to various fields, from healthcare to engineering, humanities to sports. Upholding its mission "to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values", U-M consistently ranks among the top universities globally, a testament to its tradition of excellence in learning and research, and a deep commitment to innovation and discovery.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Ann Arbor, MI, US

Year founded

1817

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