Volunteer SDG subject-matter experts

What will you be doing?

As a volunteer, you’ll play a crucial role in improving how our AI understands and classifies sustainability-related research. Your tasks will include Critiquing the Topic Architecture Review and evaluate the existing taxonomy used to categorize sustainability topics. Identify gaps, overlaps, or areas for refinement. Correcting and Validating Labels: Carefully inspect the dataset (12,000 Q&A pairs) that has been automatically labeled by our system. Edit and validate these labels to ensure accuracy and semantic relevance. Collaborative Improvement: Work with a small team to discuss findings, suggest structural changes, and help ensure consistency across the dataset.

What are we looking for?

What We’re Looking For

At least 3-y research experience in SDG-related topics Familiarity with academic language and categorization of scientific content Detail-oriented mindset and willingness to critique and improve existing systems Ability to commit  15 hours per week over the course of the project (est. 4–8 weeks) Bonus: background in information science, data curation, or machine learning

Why Join?

Contribute to improving AI models that process scientific knowledge on sustainability Gain experience in data labeling, taxonomy design, and knowledge engineering Collaborate with like-minded individuals passionate about impact-driven research Receive a letter of recognition and be acknowledged in any resulting publication or open dataset release

What difference will you make?

You will democratize access to scientific information on the most crucial topics of our time