The AI Access Initiative - General Talent Pool

If you're interested in 2AI's work but none of our open roles feel like a strong fit, we encourage you to submit your information to our General Talent Pool.

We'll periodically review applications and reach out if we identify a role that may be a good match. Note that unlike our role-specific hiring rounds, we don't have a set review timeline or process, and we won't be able to provide status updates on General Talent Pool applications

About The AI Access Initiative

About The AI Access Initiative, incubated at Evidence Action

We're at an inflection point in artificial intelligence – presenting both tremendous potential opportunity and risk for people in developing countries: rather than allowing the poverty gap to expand, low-income countries have an opportunity to leapfrog development milestones with AI-powered innovations. Incubated at Evidence Action, we’re launching The AI Access Initiative, an organization focused on scaling AI-enabled ‘big bets’ to benefit tens or hundreds of millions of people in poverty in low- and middle-income countries (LMICs).

We will operate at the intersection of global development actors, top AI labs, and leading researchers to drive meaningful access to the benefits of AI for the 3.5 billion people living in poverty globally. We will create “public good,” open-sourced playbooks, toolkits, and insights that define how to design and launch tractable and impactful AI-enabled programs. Given the scale of opportunity, we expect our portfolio to expand substantially, but to start, we’re scaling two programs focused on AI in Agriculture and AI in Health.

We are led by CEO Kanika Bahl, a founding member of Anthropic’s Long-Term Benefit Trust, and advised by Nobel Laureate Michael Kremer; Dario Amodei, CEO of Anthropic; and Kent Walker, President, Global Affairs for Alphabet and Google. This work builds on Evidence Action’s track record reaching 530M+ people with cost-effective, evidence-based programs across 9 countries in Africa and Asia, with a focus on last-mile delivery.

Our Approach

We’re building an AI-native organization focused on designing solutions to reach tens or hundreds of millions of individuals living in poverty. We will focus both on delivering near-term, tractable direct impact as well as assisting governments to grow capacity and build enabling environments for the AI for Good ecosystem, including:

• Scaling “big bet” AI interventions to impact tens or hundreds of millions, such as delivering AI-enabled forecasts to smallholder farmers to improve yields and earnings, leveraging AI to dramatically improve medical diagnosis and treatment, implementing frontier systems to identify and mitigate disease outbreaks, or putting personalized AI tutors into the hands of students to drive reductions to system-level educational attainment gaps. When relevant, we will partner with leading AI labs to shape technical offerings, including adapting for underrepresented languages, bandwidth constraints, etc.
• Partnering with governments in low- and middle-income countries (LMICs) to drive regulatory changes, policy, and investments necessary to unlock beneficial use cases at national scale, while proactively mitigating the downside risks of AI.

Building on our recent Cross-Sector Analysis of near and medium-term AI opportunities in LMICs, we are advancing the highest-scoring interventions through a rigorous vetting process, including evidence reviews, cost-effectiveness analyses, risk assessments, and early operational/technical scoping. We are excited about the opportunity to deliver AI-enabled weather forecasting for smallholder farmers, and are now running deeper analysis on opportunities in global health.

Requirements:
Who You Are

You might be a strong fit for the AI Access Initiative team if you bring an ownership mindset and thrive in fast-moving, ambitious environments. Ideal candidates take initiative, are comfortable putting structure around ambiguity, and focus on outcomes not outputs. We’re especially excited about hiring builders who problems, enjoy creating new systems from the ground up and thinking creatively about some of the world's hardest problems