Generative AI Research and Evaluation Fellow (Grant Funded)

City of Boston

22d • $25

About The Position

The City of Boston is expanding access to Generative AI tools and training for City employees. The Department of Innovation and Technology (DoIT) is seeking a part-time Generative AI Research and Evaluation Fellow to support this initiative by providing research support and assisting with training sessions for City employees.
This part-time fellowship is structured like an applied research assistantship. The Fellow will support the design of evaluations, survey-based measurement, recurring adoption reporting, and analytic write-ups used by program leadership. The Fellow will work closely with the Director of Research and Evaluation and other stakeholders to support the rollout and training efforts.

Requirements

• A bachelor's degree in economics, political science, public policy, urban planning, or a related field is preferred.
• Experience writing SQL for analysis.
• Experience cleaning and analyzing real-world datasets using R.
• Familiarity with survey-based data and basic survey operations (SurveyCTO is preferred).
• Understanding of evaluation or applied research methods, with interest in experimental or quasi-experimental work.
• Strong writing skills and the ability to communicate clearly with technical and non-technical audiences.
• Interest in public service and using data to improve City operations and resident outcomes.
• BOSTON RESIDENCY REQUIRED

Responsibilities

• Support survey design, operations, and data management.
• Write and maintain SQL queries; clean, validate, document, and join data from multiple sources using R for adoption tracking and evaluation.
• Produce analytic outputs for internal decision-making, including tables, charts, summary metrics, and appendix-style materials.
• Support evaluation methodology and internal communications by drafting memos, documentation, and participating in regular check-ins and working sessions.
• Support training sessions for City employees and assist in developing related training materials.
• Performs other related duties as required.

What This Job Offers

• Job Type: Part-time
• Career Level: Entry Level
• Number of Employees: 11-50 employees