Director, Public AI Training Data Infrastructure Fund

Responsibilities

Fund Leadership

• Serve as the public face and primary spokesperson for the fund.
• Set strategic direction informed by workshop findings and advisory board input.
• Make final funding decisions in coordination with the advisory board and funding partners.
• Represent the fund to philanthropic partners, government stakeholders, and the AI research community.
• Champion the fund’s mission and build the case for sustained investment in public AI training data infrastructure.

Fund Management

• Design and execute a multi-stakeholder workshop to identify and prioritize technical efforts.
• Manage the full grant lifecycle: publish calls, recruit and manage external reviewers, run review panels, synthesize feedback, prepare grant packages.
• Run quarterly progress reviews and milestone-based evaluations; lead down-selection decisions when warranted.
• Coordinate with technology implementation partners on integration, testing, and handoff.
• Cultivate and steward relationships with existing and prospective philanthropic and public funders.

Ecosystem and Field Building

• Convene and sustain a public-philanthropic consortium beyond the initial funded teams.
• Establish and run a public working group across funded teams, implementation partners, and the broader research community.
• Coordinate with partner organizations to ensure interoperability and avoid duplication of effort.
• Organize convenings to assess the state of open training data infrastructure and align investment priorities across sectors.
• Build open-source contributor pipelines and community governance structures for long-term sustainability.
• Connect the fund’s work to federal open-data and open-science policy priorities.

Skillset

• Highly entrepreneurial and independent, comfortable operating with autonomy.
• Strong project management skills with the ability to manage multiple concurrent workstreams — from grantmaking and performer oversight to workshop planning and stakeholder coordination.
• Excellent written and verbal communication skills, including the ability to translate complex technical and programmatic information into clear memos, briefing materials, and presentations for diverse audiences including philanthropists, federal partners, and technical performers.
• Familiarity with and has context on the landscape of public AI infrastructure, large-scale training data, and open-source data ecosystems.
• Willingness to use AI tools to augment day-to-day workflows.