RFI Peace Corps Strategic Recruiter Program

The Department of the Interior's Interior Business Center, on behalf of the Peace Corps Office of Volunteer Recruitment and Selection, is issuing a Request for Information to gather strategic input on expanding the Strategic Recruiter Program, which recruits and employs Returned Peace Corps Volunteers as part-time university-based recruiters. The RFI seeks information on two potential contracting models: Option A proposes a centralized subcontracting approach with a single prime contractor managing university contracts, while Option B would continue the current direct contracting model with 26 participating universities. Eligible universities must be U.S.-based, accredited institutions with a physical campus and either a minimum enrollment of 20,000 students or prior participation in the Strat Program. Respondents are requested to provide detailed input on the feasibility, organizational structures, compliance mechanisms, cost implications, risks, and recommendations for either model. The response deadline is January 14, 2026 at 2:00 PM ET, and this RFI is issued for information and planning purposes only and does not constitute a formal solicitation.

This pre-solicitation notice does not utilize any set-aside designations. The current program operates with part-time Returned Peace Corps Volunteer strategic recruiters working 20 hours per week (940 hours annually) at universities to promote Peace Corps opportunities and support recruitment objectives. The RFI does not disclose specific award values or budget ranges at this stage, as the primary objective is to gather market research and stakeholder input to inform future procurement decisions. No incumbent contractor information is provided, though the 26 universities currently participating in the direct contract model represent the existing program participants. This information-gathering phase will allow the Peace Corps to evaluate the advantages and disadvantages of both contracting models before determining the optimal approach for the program's future structure.