Brandeis University
Temporary Microcredential Online Course Instructor- AI Literacy and Policy Fundamentals: Understanding and Mitigating
Brandeis - Waltham Campus, USA · Contract
No sponsorship$30k-$35kDetected 1 day ago
Machine LearningData ScienceAccessibilityCommunicationCollaboration
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odds of building a lasting career here
88Lottery-free
Cap-exempt (no lottery)100
Sponsors year-round90
Entry-level history60
PERM / green-card track50
Fits your clock70
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About the role
- This course will be delivered in a hybrid online modality, combining a weekly synchronous instruction with asynchronous learning activities.
- The course introduces learners to foundational concepts in artificial intelligence, algorithmic bias, responsible AI, and policy approaches to mitigating harm.
- The ideal candidate will bring strong subject-matter expertise, experience teaching adult or graduate-level learners, and the ability to translate complex interdisciplinary content into clear, practical, and engaging instruction.
Responsibilities
- The Instructor will be responsible for teaching and facilitating the course in accordance with Brandeis academic expectations and course design standards.
- Deliver clear, engaging instruction on AI literacy, algorithmic bias, responsible AI, AI ethics, and policy fundamentals.
- Support learners in connecting course concepts to real-world applications in public policy, social impact, workforce settings, and organizational decision-making.
- Provide light post-course input or feedback to support course improvement and future offerings.
- Approximately 30 -35 hours (4 hours per week) over the eight week course period, including weekly synchronized sessions, preparation, learner support, assignment review, and coordination with program team.
- It examines how AI systems can reproduce or amplify inequities, how bias affects decision-making processes, and what ethical, technical, and policy strategies can be used to build fairer and more accountable AI systems.
- Estimated Time Commitment: Approximately 30 -35 hours (4 hours per week) over the eight week course period, including weekly synchronized sessions, preparation, learner support, assignment review, and coordination with program team.
Requirements
- Demonstrated expertise in algorithmic bias, responsible AI, AI ethics, public policy, or technology governance.
- Minimum 2 years of relevant professional, academic, or applied experience.
- Prior teaching, training, facilitation, or instructional experience with adult learners, graduate students, or professional audiences.
- Ability to explain complex technical and policy concepts in accessible and practical ways.
- Comfort using LMS platforms, video conferencing tools, and online teaching technologies.
- Experience designing or supporting learner-centered assignments, applied exercises, simulations, or policy analysis activities.
- PhD, master's degree, or equivalent professional qualifications in artificial intelligence, machine learning, public policy, data science, ethics, social policy, technology policy, or a related field.
- Strong communication, organization, and learner-support skills.
- Ability to work independently while coordinating with program and online learning teams.
- Experience teaching or facilitating online, hybrid, or asynchronous courses.
- Experience working across interdisciplinary fields such as AI, public policy, social justice, health equity, education, workforce development, or technology governance.
- Familiarity with applied case studies involving algorithmic bias in areas such as healthcare, hiring, education, finance, public benefits, criminal justice, or civic systems.
- Experience working with diverse learners, professional audiences, or community-engaged educational programs.
Nice to have
- Preferred Experience
Compensation
- 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.
Benefits
- Uphold Brandeis University's academic standards, accessibility expectations, and online learning guidelines.
- The instructor will facilitate live online sessions, guide learners through course materials, review assignments, respond to learner questions, and support an engaging and accessible learning experience.
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").
- Equal Opportunity Statement
Visa & Work Authorization
- No visa sponsorship available.
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