AI/Automation Expert Needed to Build Course Database

We’re Conservation Careers, the leading global careers platform for conservationists. We’re building a brand-new database of education and training opportunities for people who want to work in wildlife conservation — and we want your help.

We're looking for a smart, detail-oriented freelancer with AI and web automation skills to source and compile at least 2,000 up-to-date listings of both:

University degrees (Bachelor’s, Master’s, MRes, MSc, etc.)
Online courses (short courses, diplomas, MOOCs, microcredentials)

These should all be directly relevant to conservation, wildlife, ecology, or the environment.

You won’t be starting from scratch: we’ll provide a legacy list from 6 years ago to use as a springboard for initial research and source discovery.

Your Responsibilities:
Using a combination of web scraping, automation, and AI summarisation tools, your job is to:

Identify active conservation courses offered globally by universities, NGOs, online platforms (e.g. FutureLearn, Coursera), and independent providers.

Compile the following data fields for each course into a structured Google Sheet:
Course Title: Name of the course or programme
Content: Summary (3–5 paragraphs max, clean and readable), using AI tools (e.g. OpenAI or Claude) to summarise course descriptions or enhance clarity.
Organisation Name: Name of the course provider
Address: City and country (or “Online” if fully remote)
Application URL: Direct link to the course or application page
Logo URL: Link to organisation logo (if available)
Type: Degree (BSc, MSc, etc.), Short Course, Online Course, MOOC, etc.
Contact Email: Publicly listed email address for course inquiries (if found)

Clean and validate the output:
Ensure links work
Avoid duplicates
Ensure all text is well-formatted
Maintain consistency across rows

What We’ll Provide:
A Google Sheet with column headers
A legacy dataset of 1,000+ outdated listings
Example formatting and editorial guidance
Clarification on course relevance and tagging

Ideal Freelancer Will Have:
Strong Python skills and experience with web scraping (BeautifulSoup, Scrapy, Selenium)
Familiarity with Google Sheets API
Ability to automate or semi-automate data collection
Experience with summarisation using AI tools (e.g. GPT, Claude)
High attention to detail and clear communication

Scope & Delivery:
Target: 2,000+ course listings
Format: Google Sheet
Delivery: Ideally within 2–3 weeks
Milestones welcome (e.g. batches of 500)

To Apply:
Please include:
A short description of your approach (tools, logic, process)
Your proposed timeline
Your fixed price or rate per 100 listings
Examples of similar work or datasets (if available)

Why This Matters:
This isn’t just data — it’s a global resource to help aspiring conservationists find life-changing training opportunities. Your work will make a meaningful difference in supporting careers that protect nature.