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Remote Artificial Intelligence Ethics Jobs (NOW HIRING)

LMI

Artificial Intelligence Lead

Overview LMI is seeking an experienced Artificial Intelligence (AI) Lead to support the General ... This position is anticipated to be majority remote, but with the ability to travel and visit the ...

LMI

Artificial Intelligence Lead

Overview LMI is seeking an experienced Artificial Intelligence (AI) Lead to support the General ... This position is anticipated to be majority remote, but with the ability to travel and visit the ...

The Pennsylvania State University

$112K - $135K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Candidates must also have impeccable ethics and integrity with a strong work ethic as well as ...

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Remote Artificial Intelligence Ethics information

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How much do remote artificial intelligence ethics jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote artificial intelligence ethics in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What is a remote artificial intelligence ethics specialist?

Remote Artificial Intelligence Ethics professionals are experts who work from various locations to ensure that AI systems are developed and deployed in a manner that is ethical, fair, and socially responsible. They analyze the potential impacts of AI, create guidelines to prevent bias, and address concerns like privacy, accountability, and transparency. These specialists often collaborate with engineers, policymakers, and stakeholders to develop ethical frameworks and ensure compliance with regulations. Their work helps organizations build trustworthy AI solutions while protecting individuals and society.

What are the key skills and qualifications needed to thrive as a remote artificial intelligence ethics specialist?

To thrive as a Remote Artificial Intelligence Ethics Specialist, you need a solid grounding in AI technologies, data privacy laws, and ethical frameworks, often supported by degrees in computer science, philosophy, law, or related fields. Familiarity with AI governance tools, algorithm auditing systems, and relevant certifications such as Certified Artificial Intelligence Ethics Professional (CAIEP) is highly valuable. Outstanding analytical thinking, communication skills, and the ability to navigate complex ethical dilemmas help professionals excel in this role. These skills are crucial for ensuring responsible AI development, mitigating risks, and fostering public trust in emerging technologies.

What are some common challenges faced in a remote artificial intelligence ethics role, and how can they be addressed?

Professionals in remote AI Ethics roles often encounter challenges such as staying current with rapidly evolving ethical standards, coordinating with diverse global teams, and ensuring effective communication across time zones. To address these, it's important to actively participate in virtual ethics forums, leverage collaborative tools for documentation and discussion, and establish clear communication norms with stakeholders. Regular check-ins and transparent workflows help ensure alignment on ethical guidelines and project goals, fostering a strong and cohesive remote team environment.

What is the difference between Remote Artificial Intelligence Ethics vs Remote Data Scientist?

AspectRemote Artificial Intelligence EthicsRemote Data Scientist
Required CredentialsMaster's in AI, Ethics, Philosophy, or related fields; certifications in AI ethicsDegree in Data Science, Statistics, Computer Science; certifications in data analysis and machine learning
Work EnvironmentRemote, often interdisciplinary teams focusing on ethical AI developmentRemote or on-site, working with data analysis, modeling, and algorithms
Employer & Industry UsageTech companies, research institutions, organizations focusing on responsible AITech firms, finance, healthcare, and other industries utilizing data-driven solutions

While both roles involve working with AI and data, Remote Artificial Intelligence Ethics focuses on ensuring AI systems are developed and used ethically, emphasizing policy, fairness, and societal impact. Remote Data Scientists primarily analyze data to derive insights and build models. The ethics role requires a strong understanding of ethical principles, whereas data scientists focus on technical data analysis skills.

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Cities with the most Remote Artificial Intelligence Ethics job openings:

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

The most popular types of Artificial Intelligence Ethics jobs are:

What states have the most Remote Artificial Intelligence Ethics jobs?

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Remote Artificial Intelligence Ethics jobs near you
Infographic showing various Remote Artificial Intelligence Ethics job openings in the United States as of September 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.

Part Time Faculty - Artificial Intelligence

Remote

Anderson University
See more jobs at Anderson Universityexternal

Part-time

Posted 10 days ago

Job description

Part-Time Doctoral Faculty - Artificial Intelligence
Ed.D. in Leadership and Artificial Intelligence
Anderson University's International Graduate School invites applications forpart-time doctoral faculty in Artificial Intelligenceto teach in the University'sDoctor of Education (Ed.D.) in Leadership and Artificial Intelligence.
The Ed.D. in Leadership and Artificial Intelligence is a professional doctorate designed for experienced professionals who will lead organizations through the opportunities, challenges, and transformations created by artificial intelligence. The program integrates advanced leadership study with artificial intelligence, digital transformation, cybersecurity, ethics, organizational innovation, and applied doctoral research.
Anderson University is particularly interested inscholar-practitioners and accomplished AI professionalswho combine appropriate doctoral credentials with significant real-world experience in artificial intelligence and related technologies.
Because artificial intelligence is a rapidly developing field, Anderson University values bothacademic preparation and substantive professional experience. Candidates are not required to hold a doctorate specifically titled "Artificial Intelligence". However, candidates must possess an earned terminal degree and demonstrate significant academic and/or professional expertise appropriate to the doctoral course or courses they would teach.
Areas of Teaching Need
Anderson University is recruiting faculty qualified to teach one or more of the following courses:
  • LEAI 701 - Foundations of AI: History and Development
  • LEAI 740 - Machine Learning and Generative AI
  • LEAI 750 - AI Ethics and Responsible Use
  • LEAI 760 - Cybersecurity, Privacy, and AI Risk Management
  • LEAI 770 - Leading Change through Digital Transformation and AI Innovation
  • LEAI 780 - Applied Doctoral Research Seminar in Leadership and AI
  • LEAI 790 - Capstone Project
Minimum Qualifications
Candidates must possess:
  • Anearned terminal degree(Ph.D., Ed.D., D.Sc., D.B.A., D.Eng., D.C.S., or other appropriate doctorate) from an appropriately accredited institution.
  • Graduate education, scholarship, research, and/or significant professional expertise related to the course or courses to be taught.
  • Demonstrated knowledge of contemporary artificial intelligence and its application within organizations.
  • The ability to teach and mentor students at the doctoral level in an academically rigorous and professionally relevant environment.
  • The ability to teach effectively in online, hybrid, and intensive-residency formats.
  • A commitment to supporting the mission and values of Anderson University.
Preferred Qualifications
Preference will be given to candidates demonstrating one or more of the following:
  • Significant professional experience implementing or leadingartificial intelligence initiatives in business, government, healthcare, education, technology, cybersecurity, consulting, nonprofit organizations, or other sectors.
  • Expertise ingenerative AI, large language models, machine learning, AI-enabled analytics, AI agents and workflows, predictive systems, or emerging AI technologies.
  • Experience withenterprise AI implementation, digital transformation, technology strategy, organizational innovation, or AI-enabled decision-making.
  • Expertise inAI governance, ethics, privacy, cybersecurity, regulatory compliance, responsible AI, or AI risk management.
  • Graduate or doctoral-level teaching experience.
  • Experience supervising dissertations, doctoral research, applied research, or executive-level capstone projects.
  • Evidence of continuing engagement with the rapidly evolving AI field through scholarship, applied projects, consulting, industry leadership, professional certifications, professional development, or other substantive activities.
The Scholar-Practitioner We Seek
The Ed.D. in Leadership and Artificial Intelligence is aprofessional doctorate. Anderson University therefore seeks faculty who can connect doctoral scholarship with contemporary organizational practice. Ideal candidates may include senior technology executives, artificial intelligence and data science leaders, cybersecurity professionals, consultants, researchers, entrepreneurs, government technology leaders, or experienced academics who possess both an appropriate terminal degree and demonstrated expertise in artificial intelligence.
Of particular interest are professionals who have participated directly in thedevelopment, implementation, management, governance, or strategic use of artificial intelligence within organizations. Our faculty should help doctoral students understand not simplywhat artificial intelligence can do, but how leaders canevaluate, implement, govern, secure, and responsibly use AI to improve and transform organizations.
Teaching in the Ed.D. Program
Faculty members will work with experienced professionals pursuing a practice-oriented doctoral degree. Depending upon course assignment, responsibilities may include:
  • Teaching doctoral courses in online and hybrid formats.
  • Connecting current AI developments with leadership and organizational practice.
  • Using case studies, applied projects, simulations, and contemporary organizational challenges.
  • Mentoring doctoral students in applied research.
  • Advising students as they translate research into organizational solutions.
  • Participating, when appropriate, in theResponsible AI Leadership Capstone, through which students address significant workplace, organizational, industry, or societal challenges using responsible applications of artificial intelligence.
Faculty teaching research and capstone courses may also guide students in research design, organizational analysis, implementation strategies, evaluation, and professional presentation of doctoral-level work.
About our Commitment to Fairness in Employment

Anderson University does not unlawfully discriminate on the basis of race, color, national or ethnic origin, sex, disability, age, religion, genetic information, veteran or military status, or any other basis on which the University is prohibited from discrimination under the local, state, or federal law, in its employment or in the provision of its services, including but not limited to its programs and activities, admissions, educational policies, scholarship and loan programs, and athletic and other University-administered programs. As a Christian institution of higher education, Anderson University is entitled to certain religious accommodations under federal and state law, including Title IX of the Education Amendments Act and Title VII of the Civil Rights Act. For questions or concerns contact the Office of Human Resources at hr@andersonuniversity.edu.

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