Summary
The Wikimedia Foundation is looking for a software engineering contractor to join our
Future Audiences
effort, reporting to product engineering management. Future Audiences is the Wikimedia Foundation s effort to investigate opportunities for spreading and sustaining free knowledge in a rapidly changing Internet (e.g., AI assistants, social video apps, and more). A recent experiment is the
Wikipedia plugin for ChatGPT , which allows ChatGPT users to access the latest content from the encyclopedia in the ChatGPT interface, complete with attribution and opportunities to engage with Wikipedia. Another is our
Citation Needed
browser plugin, which uses generative AI to verify information as they browse the web. As a Future Audiences engineer, you will be responsible for collaborating with product managers, data analysts, and machine learning engineers to deploy these types of software experiments across a variety of platforms.
In this role, you will work in a remote environment, where we value teamwork and a consensus-oriented approach. You get to experiment to learn how new technologies and platforms can help empower and sustain the ability of every human in the world to share high-quality free knowledge, and you get to do it at a place that believes we're all more successful when everyone has a good work-life balance.
You are responsible for:
Being a thought-partner on a small cross-functional team that acts as a startup within a larger organization not just executing, but also co-planning and brainstorming new ideas and approaches to knowledge-sharing and contribution
Developing experimental solutions across a range of platforms, taking into account existing insights, technical constraints, organizational needs, and specific platform demands. This work might include anything from AI assistants to social video apps to browser plugins.
Working very independently with little support from other engineers.
Working with third-party and Wikimedia APIs to develop off-platform API integrations
Keeping your finger on the pulse of new technologies and platforms as they arise and identifying timely opportunities to experiment/learn more about their capabilities
Instrumenting components that allow the team to routinely monitor feature and quality characteristics and enable deeper analysis by Product Analysts
Making recommendations for ways to improve our experimental R&D infrastructure to enable more efficient development and learning
Working with design and engineering to develop interfaces
Skills and experience:
5-8+ years related professional experience in functional programming or OOP
Experience working with cross-functional teams to build and test new product concepts
Experience working in a self-driven, lean environment
Ability to come up to speed quickly on a codebase, new and emergent technology or platform
Experience working with a range of third party API services familiarity with Wikipedia APIs is a plus
Fullstack development experience:
Frontend: practical experience with Javascript frameworks such as Vue.js or React
Backend: Python familiarity or other backend development experience;
Qualities that are important to us:
Ability to develop and deliver in a small team capacity
A strong belief in Wikimedia s principles of using technology ethically: that is, to empower humans to share knowledge freely, equitably, and transparently
A willingness to iterate quickly and pivot strategically, embracing the changing nature of technology, user behavior, and learning opportunities that the future may bring
An emphasis on communicating clearly in both synchronous and asynchronous channels
Additionally, we'd love it if you have this:
Experience working with generative AI APIs
Fluency in one or more regional languages in Africa, Asia, or Latin America
Experience with data science, machine learning, and/or AI (e.g., familiarity with prompt engineering, Jupyter notebooks experience, etc.)
Experience working with cloud environments
A history of open source contributions
Bachelor's, master's, or doctorate degree in computer science, management information systems, or STEM field (or equivalent certification)
About the Wikimedia FoundationThe Wikimedia Foundation is the nonprofit organization that 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 freely. We host Wikipedia and 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.
The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive donations from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.
As an equal opportunity employer, the Wikimedia Foundation values having a diverse workforce and continuously strives to maintain an inclusive and equitable workplace. We encourage people with a diverse range of backgrounds to apply. We do not discriminate against any person based upon their race, traits historically associated with race, religion, color, national origin, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or any other legally protected characteristics.
The Wikimedia Foundation is a remote-first organization with staff members including contractors based 40+ countries * . Salaries at the Wikimedia Foundation are set in a way that is competitive, equitable, and consistent with our values and culture. The anticipated annual pay range of this position for applicants based within the United States is US$50/hour to US$78/hour with multiple individualized factors, including cost of living in the location, being the determinants of the offered pay. For applicants located outside of the US, the pay range will be adjusted to the country of hire. We neither ask for nor take into consideration the salary history of applicants. The compensation for a successful applicant will be based on their skills, experience and location.
• Please note that we are currently able to hire in the following countries:
Australia, Austria, Bangladesh, Belgium, Brazil, Canada, Colombia, Costa Rica, Croatia, Czech Republic, Denmark, Egypt, Estonia, Finland, France, Germany, Ghana, Greece, India, Indonesia, Ireland, Israel, Italy, Kenya, Mexico, Netherlands, Nigeria, Peru, Poland, Singapore, South Africa, Spain, Sweden, Switzerland, Uganda, United Arab Emirates, United Kingdom, United States of America and U.
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