Temporary Online Microcredential Course Developer- AI Literacy and Policy Fundamentals: Understanding and Mitigating Algorithmic Bias

Brandeis University • Waltham, MA

8d • Remote

About The Position

The Rabb School of Continuing Studies working in collaboration with the Heller School of Social Policy and Management at Brandeis University is seeking an experienced academic and curriculum strategist to design a non-credit, instructor-facilitated hybrid microcredential course (asynchronous structure with student optional weekly synchronous engagement sessions). The course will focus on foundational algorithmic bias, anti-bias strategies in AI, the ethical/policy implications of automated decision-making, and tools for mitigating systemic bias to build trustworthy AI applications.

Requirements

• Ph.D. or equivalent credentials in AI, Machine Learning, Public Policy, or related fields.
• Minimum 2 years of professional tech or policy industry experience.
• Minimum 1 year of experience designing asynchronous higher education online courses for adult audiences.
• Proficiency with modern LMS platforms and digital content authoring tools.
• Superb structural writing, editing, and cross-functional communication abilities.
• Proven capacity to translate complex technical/policy paradigms into accessible, engaging student pathways.

Nice To Haves

• Demonstrated expertise in algorithmic bias, Responsible AI (RAI), and technology policy

Responsibilities

• Author and construct the course structure following the Brandeis Online Course Standards, including a Brandeis-compliant syllabus, instructor-led multimedia materials, learning objects, and outcomes-aligned assessments.
• Serve as the subject matter expert responsible for the course's substantive content and pedagogical approach, ensuring alignment with institutional standards and market relevance.
• Work closely with Brandeis Online staff and instructional designers, strictly adhering to LMS technical requirements and project milestones.
• Submit drafts progressively for iterative reviews and final approval.

Benefits

• 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.

What This Job Offers

• Career Level: Mid Level
• Education Level: Ph.D. or professional degree