AI Lead - Consultancy

Strengthening Media Capacity and Civil Oversight for Accountability in Lebanon

Project Background

Lebanon's governance environment is heavily impacted by systemic crises and erosion of the national integrity system. This project aims to strengthen the organizational capacity of six Lebanese media and civil society organizations (CSOs) to evaluate public data sources, apply advanced analytical workflows, and execute evidence-based accountability work.

The project integrates cutting-edge technology, AI-assisted research routines, and automated data monitoring workflows to enhance the analytical capacity of independent media and CSOs scrutinizing public procurement, registries, and financial data in Lebanon.

This project is implemented by the Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH in partnership with Media in Cooperation and Transition (MiCT). It is funded by Germany through the German Federal Ministry for Economic Cooperation and Development (BMZ).

• Duration: 12 months
• Level of Effort: 10 days per month (Total: 120 working days)

Role Objective

The AI Lead establishes and oversees the AI methodology, technical architecture, and workflow standards across all technical activities, ensuring practical, safe, and sustainable integration of AI tools for newsrooms and civic watchdogs.

Key Responsibilities & Scope of Work

• Data Access & Workflow Feasibility Assessment: Evaluate automated extraction, web scraping, API routes, LLM prompt engineering, and parsing possibilities for Lebanese public platforms (PPA, CDR, Central Bank, parliamentary records).
• Applied AI Training Track: Lead the AI and technical workflow modules, train participating teams on open-source investigation, AI-assisted document parsing, prompt design, and data verification routines.
• Hackathon & Working Sprint Technical Guidance: Lead the pool of technical mentors methodologically. Supervise rapid prototyping of automated monitoring agents, scrapers, and data pipelines.
• Sustained Technical Mentorship Supervision: Provide expert advice to mentors and cohort teams on Arabic NLP, LLM inference, API integration, data privacy, source protection, and operational sustainability.

Key Deliverables

1. AI & Workflow Feasibility Chapter for the Ecosystem Assessment.
2. Curriculum materials and practical exercises for the AI workflow training modules.
3. Hackathon technical architecture guidelines and prototype evaluation standards.
4. Bi-monthly technical review notes evaluating cohort tool stability, API security, and workflow code documentation.

Qualifications & Requirements

• Degree in Computer Science, Data Science, Artificial Intelligence, Computational Journalism, or software engineering.
• Minimum 5+ years of practical experience in AI application design, LLMs, NLP (especially Arabic language processing), web scraping, and data pipeline construction.
• Proven background working with investigative journalists, CSOs, or civic tech initiatives.
• Strong written and spoken command of English and Arabic.