Harvard CAMLab
Harvard FAS CAMLab seeks current Harvard students to gain direct experience in the day-to-day operations of its experimental exhibition space. All positions are paid and require 8–12 hours of work each week during the academic year.  

Public Interface Team Member

Reporting to CAMLab’s Assistant Curator, Public Interface Team Members will serve as exhibition visitors’ primary point of contact during their visit. From trainings on exhibitions’ conceptual and historical research as well as their technological engineering, the Public Interface Team facilitates exhibition visits by sharing essential information and engaging visitors dialogically. Team Members will have the opportunity to serve in an advisory capacity to CAMLab by not only reporting their on-the-ground observations of the exhibition experience, but also offering ideas for public programs, social media campaigns, and more.


  • Serve as exhibition audiences’ primary point of contact during their visit
  • Participate in training on topics relevant to the exhibition, ranging from Buddhist art to museum pedagogies and experimental new media artistic production
  • Provide visitors with a short exhibition overview, serve as a resource for questions
  • Facilitate visitor flow through the exhibition space
  • Based on trainings, provide simple troubleshooting support for the exhibitions
  • As a part of regular advisory meetings, make recommendations to CAMLab regarding how to refine the visitor experience and amplify engagement

︎Skills that will be developed

  • Public speaking
  • Visitor engagement and user feedback collection
  • Distilling complex concepts for general audiences
  • Knowledge of curatorial and exhibition operation processes
  • Knowledge of the Art & Technology field


  • Undergraduate students: $16–18 per hour
  • Graduate students: $18–20 per hour


485 Broadway, Cambridge, MA 02138

︎Application materials

Please send a cover letter and resume to Simone Levine, Assistant Curator, simonelevine@fas.harvard.edu.
︎ ︎  @HarvardCAMLab