Generative AI Research and Evaluation Fellow (Grant Funded)
US
City of Boston
Req #: 31665
Type: Regular Full-Time
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Overview: 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. 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. Professional Development and Supervision: * The Fellow will receive close supervision from the Director of Research and Evaluation, including regular check-ins, feedback on analytic work products, and guidance on research documentation and internal writing. * Work closely with staff across multiple City departments, gaining exposure to cross-departmental collaboration and applied policy work. * The role provides exposure to applied evaluation work in government, including survey operations, rollout measurement, and communicating results to decision-makers. Qualifications: * 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 Terms: Union/Salary Plan/Grade: Non-Union / $25 per hour Hours per week: 14
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