Learning & Evaluation Intern

Reports to:  Senior Evaluation Strategist

Location: Remote

Duration: 4-6 months, from roughly January to June of 2019

Hours: 20 hours/week


The Wikimedia Foundation is the nonprofit organization that hosts and operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge, free of interference.

The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive financial support from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts.

We host the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive.

Wikimedia is the world’s fifth most popular digital platform, used in everything from secondary education to advanced computational research. Each month, around a billion people visit the Wikimedia sites, to learn about topics ranging from classical music to Bollywood stars to quantum mechanics.

While Wikipedia is the largest and best-known of the Wikimedia projects, it is only one part of our work. Other widely-used projects include Wikimedia Commons, which contains more than 40 million free media files, and Wikidata, an open structured and linked data repository with nearly 50 million items. We are also the primary developer of MediaWiki, a free and open source collaborative software platform. Wikimedia is:

  • Around 300 languages;
  • Written by 250,000 monthly contributors;
  • Visited around 6,000 times each second;
  • By roughly 1.5 billion devices every month.

About the role

The Learning & Evaluation Intern will support the Community Engagement Department at the Foundation to turn numbers and stories into insights. This roles sits on the Learning & Evaluation (L&E) team, is managed by the Senior Evaluation Strategist, and will collaborate closely with other L&E team members. The 2019 intern will primarily help the L&E team and our colleagues to evaluate the outcomes of our capacity building efforts. This will include the creation of post-event surveys, follow-up surveys, data analysis, and summarizing of results. The intern will also help to create and curate evaluation resources that can be used by Foundation colleagues and our international communities of Wikimedia volunteers.


  • Design and disseminate surveys in Qualtrics and Google Forms
  • Export data from surveys into Excel and Google spreadsheets for analysis
  • Ensure data in spreadsheets are accurate and organized properly to enable analysis
  • Analyze quantitative and qualitative survey data, following evaluation standards of utility, accuracy, and propriety
  • Document procedures and calculations used to analyze data
  • Summarize data into tables and charts so that key metrics are accessible to staff
  • Assist with identifying trends or patterns in data sets and generate charts and graphics to illustrate results
  • Assist with the development, design, modification, writing and dissemination of reports and data dashboards
  • Support the design of focus groups and analysis of qualitative focus group data
  • Help to compile and organize the data, metrics, and outcomes that our volunteer communities are tracking
  • Inform the development of a Wikimedia movement evaluation framework
  • Support the L&E team in the creation of evaluation resources and materials


  • Currently enrolled in a Master or Doctoral program in social sciences, education, international development, public policy, public health or similar field
  • Knowledge of program evaluation (either through academic training or professional experience)
  • Formal training in quantitative and qualitative social science research methods and an understanding of basic statistical concepts
  • Experience with qualitative and quantitative data collection and analysis
  • Experience with data entry, cleaning, and analysis in Excel, Google Sheets, or another spreadsheet platform
  • Some experience summarizing findings from data into reports using narrative, tables, and graphs
  • Demonstrated attention to detail and ability to work systematically to ensure accuracy and quality
  • Desire to learn more about evaluation and use of data in nonprofit settings
  • Ability to work remotely through the use of collaborative technology (e.g. Google Suite)
  • Ability to organize and prioritize multiple tasks and work collaboratively, as well as independently
  • The ability to flourish in a highly transparent and collaborative environment and work on a team with diverse demographic and cultural characteristics.
  • Ability to problem solve and to learn and apply new technologies
  • Exceptional written communication skills and interpersonal skills

Nice to haves:

  • Experience with advanced statistical software, such as R, SPSS, and/or Nvivo
  • Interest or knowledge in Wikimedia projects, the free knowledge movement, global education and/or international development
  • Multilingual students are a plus!

The Wikimedia Foundation is an equal opportunity employer, and we encourage people with a diverse range of backgrounds to apply.

Benefits & Perks

  • Quickly improve your existing data analysis, evaluation, and/or research skills through exposure to real-world applied research
  • Partner with and learn from experienced evaluation professionals to complete meaningful projects that will directly impact the organization and the world
  • Experience the entire scope of carrying out an evaluation project, from instrument design, data management, data analysis, interpretation, and reporting
  • Regular supervision focused on professional development and skills building
  • Telecommute from anywhere with a flexible work schedule
  • Great colleagues - diverse staff and contractors speaking dozens of languages from around the world, fantastic intellectual discourse, mission-driven and intensely passionate people

How to Apply:

To apply, please submit your CV or resume; a cover letter, which includes your interest in program evaluation and the Wikimedia Foundation; and a sample of your work that demonstrates your proficiency with data analysis and/or evaluation. The application deadline is January 7, 2019.


The Wikimedia Foundation is an equal opportunity employer, and we encourage people with a diverse range of backgrounds to apply.

More information

Wikimedia Foundation website

Wikimedia Foundation blog

Annual Report - 2017

Wikimedia 2030


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