• You will own, build, and run your startup in fields such as Applied AI • You will embark on an extensive personal development journey crafted by unicorn founders • You will receive support in hiring through our network to over 50,000 professionals • You will receive intensive coaching to make your startup ready to raise millions in funding • You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively

Role Description 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. Qualifications - Open Source, Data, & Governance - Generative AI Product Landscape - AI Projects by and for the Global Majority - Experience with Diverse Worldwide Projects and Groups Requirements - 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 Benefits - 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

• Develop a strong understanding of Escalent group's products, tools, solutions, and technological roadmap and use as context for AI initiatives related to company workflows and products. • Demonstrate a strong capability to link findings and recommendations to desired business impact. • Present findings and recommendations, while explaining approach and rationale, to various business teams as and when needed. • Contribute to Escalent's ongoing and ever-expanding AI upskilling initiatives by conceptualizing ideas, developing collateral, and administering sessions. • Organize and administer demos, show-n-tells, and lunch-n-learns among internal/external audiences to socialize the product/feature/agent, resolve queries, foster adoption, and gather constructive and actionable feedback. • Exhibit a strong passion for AI and innovation, and stay updated on the latest developments, trends, product/model launches, etc. and their plausible impact on Escalent's AI strategy /approach/roadmap. • Address internal queries on AI, innovation, and automation tools/techniques/approaches to ensure teams know when (and when not) to use AI, how to use it effectively + efficiently + ethically, which tool/feature/product/agent to leverage, and where to avoid pitfalls. • Identify relevant AI/innovation tools for any use case, via desk research and internal outreach. • Liaise with various tool vendors to understand functional possibilities, evaluate use case fitment, and assess commercial viability. • Partner with Compliance and IT teams to vet and whitelist specific tools for test/trials. • Conceptualize a trial program and secure licenses for testing. • Partner with domain/functional/corporate teams to test various tools to assess their effectiveness and value-add. • Prepare, maintain, and improve documents on AI-related processes, guidelines, and protocols. • Author self-learn collateral on the in-house and approved 3P tool mix, such as tool one-pagers, tool usage decision flowcharts, SharePoint pages and content, etc. • Where applicable, co-develop the development/implementation and scaling plan, in collaboration with the tech, development, and product teams. • Where applicable/possible, adopt a hands-on approach on low-code/no-code/vibe-code agent development tools/environments to create the tool/agent. • Craft and co-implement alpha and beta testing plans, and internal and external rollout roadmaps, to ensure controlled testing, scaled launch, robust adoption, and continuous improvement. • Double up as an alpha tester focused on 'breaking' the product/feature/agent to ensure adequate stress-testing under various edge cases.

• Review AI-generated security events throughout the day • Analyse sequences of security camera images from member entry events • Determine whether each event represents tailgating or legitimate member access • Assign confidence levels to each decision • Record notes where additional context is helpful • Flag unusual or uncertain events for internal review • Apply labelling guidelines consistently across every event • Help create accurate datasets used to train and improve AI models • Maintain confidentiality when accessing security footage and operational systems