Organizational collaborations that make our programs possible.
AI4Good Foundation is a small organization with an outsized data and research footprint. That is only possible because peer institutions contribute data, compute, methodology, and review in kind. This page lists the organizations we collaborate with at the institutional level, and the principles every collaboration adheres to.
All partnerships are institution-to-institution. We do not name individuals on this page.
Institutions providing data, compute, or research infrastructure in kind.
Each agreement is a written MOU or LOI between AI4Good Foundation and the partner organization. No fees change hands. No learner data flows back to the partner.
Canaria
Labor-market data partner (in-kind)
Canaria provides AI4Good with in-kind access to a research-grade US labor-market dataset: 1B+ ingested job postings (900M+ unique after semantic deduplication) sourced from major job boards and 200,000+ employer ATS portals, enriched with 82 fields per record including SOC occupation codes, AI-predicted salary, a 37,000+ skill taxonomy, seniority, work mode, and a dedup graph. This is the data backbone for our Career Navigator retrieval layer, our Skills Translator evaluation set, and our public research briefs.
What the data covers
- 1B+ job postings ingested, 900M+ unique after semantic deduplication
- 82 enriched fields per record (occupation, salary, skills, seniority, work mode)
- 37,000+ skills taxonomy, 3,000+ certifications, 400+ soft skills
- SOC occupation classification using title and description context
- AI-predicted salary trained on 50M+ employee-reported observations
- US coverage, 2022 to present, daily updates
This is an institution-to-institution agreement between AI4Good Foundation and Canaria Inc. Canaria provides AI4Good with in-kind access to the labor-market dataset described above. Learn more at decanaria.com.
Community colleges, workforce boards, and CBOs that run our programs in the field.
Pilot partners are the institutions where our tools meet learners: community colleges, American Job Centers, refugee resettlement agencies, Title I schools, and minority-serving institutions. We are actively recruiting our first cohort.
Recruiting university partners for independent evaluation.
We are seeking research universities, applied research centers, and methodological collaborators to lead independent third-party evaluation of our pilots. Areas of interest include labor economics, education research, human-computer interaction, and applied NLP evaluation.
Faculty, postdocs, and research staff at qualifying institutions are welcome to reach out.
All partners adhere to a short list of principles.
These commitments are written into every MOU and LOI we sign, from large data providers to single-site pilot partners.
No learner data sale
We never sell, share, or train commercial models on data generated by program participants. Partnership terms make this explicit.
No exclusivity
Partners are free to work with any other organization, vendor, or research group. We do not ask for category lock-in.
Open-source outputs
Models, prompts, evaluation harnesses, and curriculum materials produced through the partnership are released under permissive open licenses.
Public attribution to data sources
Every dataset or signal we use is named and credited in the relevant tool, paper, or release notes, with the contributing institution's preferred wording.
Could your organization contribute?
We welcome inquiries from data providers, cloud and compute sponsors, research universities, and aligned nonprofits. If your organization can extend the reach or rigor of an open-source AI program for underrepresented learners, we want to talk.