Generative AI Research and Evaluation Fellow; Grant Funded

Generative Ai Research And Evaluation Fellow

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.

• 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.

• 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:

Non-Union / $25 per hour Hours per week: 14