Adjunct Instructor in Generative AI and Large Language Models in Analytics
About The Position
Brandeis University’s Online Applied Data Science and Decision Analytics Program is seeking an Adjunct Faculty member for RADS 140 Generative AI and Large Language Models in Analytics for the Fall-2 2026 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Applied Data Science and Decision Analytics. This course will examine the design, implementation, and governance of generative AI systems particularly Large Language Models (LLMs) for analytics and decision-support applications. Students explore prompt engineering, fine-tuning, evaluation metrics, hallucination mitigation, and responsible deployment practices.
Requirements
- Advanced degree (Masters or Ph.D) in Computer Science, Data Science, or Software Engineering or AI Related fields.
- Experience applying LLMs in Enterprise or Analytics contexts, including prompt engineering, model evaluation, hallucination mitigation, and responsible deployment of LLM-Based systems for analytics and or decision support.
- At least 1 year of teaching or training experience (preferably online/asynchronous).
- Experience with online instruction.
- Excellent communication and teaching skills in an online learning environment.
Nice To Haves
- Prior online teaching experience at the graduate level.
- Knowledge of global learner personas and culturally responsive pedagogy.
- Familiarity with Moodle LMS and digital authoring tools (e.g., H5P).
Responsibilities
- Organized and timely rollout of course content.
- Maintaining consistent communication through weekly announcements.
- Ensuring all instructional activities occur within university-approved digital platforms.
- Building an active teaching persona by hosting live introductory sessions.
- Facilitating weekly academic discourse in forums.
- Maintaining regular availability for student consultation.
- Providing transparent, rubric-based evaluations and supportive commentary on student work within a standardized weekly timeframe.
- Adherence to university communication protocols.
- Promotion of respectful online "netiquette".
- Ensuring the course meets accessibility and technical visibility standards before and during the term.
Benefits
- Compensation for this position is: $6573.15
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What This Job Offers
Job Type
Part-time
Career Level
Mid Level
