- Contract
🌎 RemotePosted on: 31 August, 2025
Research & Data Collection: UK Council Tax PDF Dataset for AI Training
We are seeking a detail-oriented researcher to support Vera, a regulatory-grade AI platform for debt negotiation, by collecting and organizing a representative dataset of UK council tax arrears and collection process guidance.
Objective:
Power Vera’s AI negotiation engine by assembling a clean, diverse dataset of council tax guidance documents from 50–60 UK local authorities.
Scope of Work:
Identify UK council websites that provide public guidance on council tax arrears and collection processes
Download or save as PDF any relevant guidance documents or process explanations (web pages or PDFs)
Prioritize coverage across a mix of urban/rural councils, different population sizes, and all UK nations/regions
Focus on documents that clearly outline:
- Step-by-step collection and enforcement processes
- Escalation timelines
- Enforcement actions (e.g., liability orders, bailiffs)
- Payment plan options and hardship policies
Deliverables:
- All downloaded PDFs or saved versions of web pages
- Clearly labeled by council name
- Council Name
- Source URL
- PDF or File Name
- Summary of Document Content (2–3 sentences)
- Notes on language style, unique features, or clarity
Deadline:
Budget:
Required Experience and Skills
Strong research skills, ideally with public sector or legal content
Comfortable working with structured and unstructured web content
Ability to summarize technical/legal documents concisely
Familiarity with UK councils/local authority structures is a bonus
Preferred Qualifications
Previous work collecting government policy documents or regulatory content
Experience with content tagging or dataset creation
Project Type
Skills and Expertise
Web Research
Internet Research
Data Entry
English Proficiency
Microsoft Excel / Google Sheets
Document Handling
Public Sector Research (Preferred)
Deliverables
50–60 council tax arrears guidance documents (PDFs or equivalent)
1 spreadsheet summarizing and organizing the dataset
Client Instructions
When applying, please include:
An example of a similar research task you’ve completed
A short note (2–3 sentences) on how you would approach this task
Confirmation you can meet the 30 July 2025 deadline
- 🌎 Remote
- 🌎 Remote