Work description: AI Technical Expert for the Integration of privacy-Preserving AI into Open Data Editor (ODE)
Location: Global (remote)
Type of Contract: consultancy
Duration: 4 weeks maximum
Compensation: $2,000
Location: Remote, with availability for virtual meetings at Central European Time 
Reporting to: OKFN Tech Lead
Application Deadline: May 30, 2025  

Open Data Editor

The Open Data Editor (ODE) is a no-code platform for non-technical users (e.g., journalists, activists, public administrators) to help detect errors in tables. The ODE Strategy 2025 emphasises enhancing data literacy, accessibility, and responsible AI integration to empower non-technical communities. A key objective is to embed privacy-preserving AI (e.g., local Large Language Models) to enhance data validation and usability while ensuring transparency and explainability. The AI integration process will involve active engagement with the ODE core team and broader community, with outcomes shared publicly to guide other organisations.

Work Description

The Technical AI Expert will assist two senior developers with integrating privacy-preserving AI into a desktop application built with the PySide6 framework to support data validation, usability, and user confidence, aligning with the project’s non-tech-centric approach. The consultant will guide the implementation of the AI solution and contribute to public-facing documentation of the process.

Scope of Work

The AI Consultant will:

• Assist in understanding the current landscape and capabilities of Local LLMS.
• Practical guidance on the implementation of local LLMS into desktop applications.

Deliverables

• An architecture document on integrating local LLMs in desktop applications: bundling, plugins, installation and integration techniques, etc. 
• Participate in 1–2 ODE Hours (virtual community sessions) to discuss AI integration choices, share progress, and gather feedback.

Exclusive

• It is mandatory to have proven experience integrating a local LLM (like ollama) into a desktop application to achieve an intuitive and transparent experience for users without technical knowledge. Interested applicants must include links to examples of their work doing so. 

Desirable

• Experience with open-source projects or data-focused platforms (e.g., CKAN, Frictionless).
• Knowledge of FAIR principles (Findable, Accessible, Interoperable, Reusable).
• Familiarity with global development challenges and resource-constrained environments.
• Experience in guiding product teams in the implementation of AI features.

We welcome individual applications as well as institutional applications. 

If you’d like to apply, please send your CV or institutional profile, your availability and a short cover note highlighting your interest in the role and outlining your suitability to jobs@okfn.org. The position will be filled on a rolling basis, so you might be contacted before the application deadline. 

At Open Knowledge Foundation we are committed to being a diverse and inclusive workplace and aim to cultivate and sustain a diverse, equitable, and inclusive team. We value and encourage diversity because a range of experiences and perspectives enriches our work and strengthens our ability to address complex challenges. Applicants from communities that are under-represented in our workplace – ethnic minorities, women, people with disabilities, and LGBTI+ individuals are encouraged to apply.

Click here for our Job Applicant Privacy Notice.