Freelance Project: Generative AI Product Researcher (all genders) for NGO Landscape Impact Analysis

We are seeking an experienced freelance researcher to assist Wikimedia Deutschland in mapping the product landscape of challenges and opportunities of Open Data, Open Governance, and Open Source with regard to the evolving generative AI ecosystem, especially in the Global Majority context. The report will guide and motivate WMDE and our collaborators towards the most effective projects to undertake or support in order to better understand how we could benefit Global Majority-representing cultural groups working towards free & open knowledge within the genAI ecosystem.

The outcome should be a written report that includes 

• Landscape mapping & actor analysis in the space of open data and mission-aligned AI training.
• Conduct a concise analysis of key actors, dependencies, concepts, and ongoing processes.
• Assess these results for their relevance to Wikimedia Deutschland regarding collaboration, product development, and funding opportunities within the Open Data & AI ecosystem.
• Deliver a foundation for strategic decision-making and prioritised funding opportunities for Wikimedia Deutschland leadership.
• Support Wikimedia in developing Wikimedia’s strategic stance on open dataset stewardship and reuse in the context of generative AI.
  

Needed experience:

• Open Source, Data, & Governance
• Generative AI Product Landscape
• AI Projects by and for the Global Majority
• Experience with Diverse Worldwide Projects and Groups

Scope of the project:

This is a medium-sized project that will require a commitment of 1 to 3 months. We are looking for a person who can work independently and deliver high-quality results within the given time frame.

Language: English

Location: Remote or Berlin, DE

Please provide a non-binding quote with 

• An overview of activities you plan to do;
• Full package budgetary request for this research project;
• Timeline:
  • When would you be able to start the work, and 
  • Hours per week you are available for this project
  • How much time you would predict for this project
• Background information on why you qualify for the job