Role Description 2AI is building fast. We have a founding team, two live program portfolios, government partnerships in India reaching millions of farmers, and a pipeline of opportunities that will drive significant expansion. The programs we are running have credible pathways to 100s of millions of people. What we need now is the person who can turn that momentum into a high-performing, multi-geography program operation and who is energized by that challenge. As 2AI's first Chief Program Officer, you will set programmatic strategy and standards across our Agriculture and Health portfolios, working in close collaboration with our regional leaders, including our India Country Director, and building the program teams, systems, and partner infrastructure required to scale. We have an ambitious goal to reach 100M+ farmers with AI-enabled weather forecasts, while scaling clinical decision support to 10M+ via telemedicine platforms. You will also be a key face of 2AI to funders and partners. As a core member of the leadership team, you will have a meaningful hand in shaping the direction of where 2AI goes next. This is a builder role: recruiting and developing program teams, designing organizational infrastructure that doesn't yet exist, pushing into new geographies and intervention areas. History shows that without a clear driver and coordinated action, complex innovations in the developing world risk languishing for decades. The cost of moving slowly here is measured in lives and livelihoods — hundreds of millions of people who could benefit from AI-powered health and agricultural tools if the field acts with sufficient urgency and rigor. This role exists to prevent that delay. You Will: - Build, Scale, and Learn - Serve as a core member of the executive leadership team, shaping organizational strategy, culture, and enterprise-wide priorities. - Hire and mentor a high-performing leadership team and staff, creating a highly mission-driven culture focused on moving with the scale, thoughtfulness, and urgency required. - Ensure every program has a strong learning architecture: clear hypotheses, rigorous measurement, rapid iteration cycles, and honest reporting. Use cost-effectiveness evidence to guide resource allocation — scaling what earns it, cutting what doesn't. - Develop and steward 2AI's open-sourced playbooks and insights — building durable field knowledge, not just running programs. - Program Strategy & Design - Set and achieve ambitious program strategies for 2AI's Agriculture and Health portfolios — vision, priorities, delivery models, and expansion roadmap — in close collaboration with the CEO and regional and program leads. Achieve high-caliber reach and impact for hundreds of millions of people. - Design and run fast, rigorous pilots. This includes strong measurement and feedback loops from day one, rapid iteration on what isn't working, and clear-eyed calls on what deserves to scale. - Stay at the frontier of AI-enabled solutions for LMICs; actively tracking, testing, and integrating emerging tools and approaches. Bring intellectual curiosity and the ability to learn rapidly in a fast-moving space, translating what's technically possible into what's practically scalable for underserved populations. - Partner with technical and research teams to ensure AI-powered approaches are grounded in rigorous evidence, adapted to local realities, and designed for sustainable delivery. - Build Partnerships and Mobilize Resources - Serve as 2AI's programmatic bridge among AI labs, global development actors, leading researchers, frontline implementers, and regional governments — translating credibly across all of these worlds. - Shape technical offerings in partnership with leading AI labs, including adapting AI tools for underrepresented languages, low-bandwidth environments, and last-mile contexts. - Support regional leaders — including our India Country Director — in navigating government relationships, adoption pathways, and policy enablement, providing strategic input and senior representation where needed. - Lead efforts on fundraising — contributing to compelling narratives for major funders, leading grant development, and making the case for ambitious investment in the portfolio. - Represent 2AI at senior levels in public and private forums, building 2AI's profile as the leading ecosystem coordinator for AI deployment in LMICs. Qualifications - 15+ years of experience building and leading programs in global health, international development, or adjacent fields, with a demonstrated track record of scaling complex initiatives to national or regional scale in low and middle income countries. - A track record as a successful builder: you have built new programs and organizational functions in 3-5 countries, scaled programs nationwide across these countries, recruited and developed top talent, and cultivated a culture of rigor and urgency. - Experience with AI clinical decision support, digital health, or AI in agriculture at the program design or deployment level is preferred. - Experience in fundraising or major donor engagement — comfortable making the case to large HNW or institutional funders. You have raised $5M+ annually. - Familiarity with how African and/or Asian governments operate, with enough experience to support regional leaders in navigating institutional processes. - Experience bridging technical and programmatic worlds — global health delivery, market-shaping, technology for development, or related fields. Comfort translating between AI labs, researchers, delivery organizations, and government counterparts. - Strong AI fluency: strong working knowledge of frontier AI tools and LLMs, and their practical application in low-resource settings. Active curiosity about frontier development. - Existing relationships with major global health or agriculture funders, including bilateral donors, large foundations, and tech sector philanthropists a plus. Requirements - This role location is flexible anywhere within the United States for fully remote candidates. - We are unable to sponsor or take over sponsorship of a U.S. employment visa at this time. - Applicants must be legally authorized to work in the U.S. for roles based in the U.S. Benefits - Comprehensive benefits including international health care, HSA/FSA options, life insurance, disability coverage, retirement plans with a matching component, generous and flexible leave options, as well as other employee perks on a reimbursement basis. Company Description Evidence Action is an Equal Opportunity Employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. The expected role range for this US position is listed below. We consider multiple factors when determining the base salary for a role, including but not limited to: role scope, program budgets, internal equity, and a candidate's qualifications and/or prior experience. Note: Pay and benefits will be commensurate with the role specifications, local statutory requirements, and the cost of labor in the markets where we operate. The pay range for this role is $210,000 - $250,000 per year. This role will initially be housed at Evidence Action, with the explicit plan to transfer with the AI Access Initiative as a founding member of the team when that project is spun out as a new entity later this year. At that point, benefits and policies may change.

• Review AI-generated student responses • Evaluate AI-generated feedback • Help ensure the quality, accuracy, and effectiveness of the learning experience

Role Description Ottimate is seeking a highly motivated MBA intern to work directly with the Chief Payments Officer on strategic initiatives that leverage Artificial Intelligence to transform how a modern Payments organization operates. This is not a traditional internship focused on observation or analysis. Over an 8-week engagement (up to 20 hours per week), the selected candidate will be responsible for building scalable solutions that reduce manual work, improve decision-making, and create long-term organizational leverage. - The successful candidate will leave behind tools, frameworks, and AI-enabled assets that continue to drive value long after the internship concludes. Qualifications - Currently pursuing an MBA (or similar graduate business degree) - Strong interest in Artificial Intelligence and business transformation - Experience using Generative AI platforms such as ChatGPT, Claude, Gemini, or Copilot - Excellent analytical and problem-solving skills - Ability to independently structure ambiguous problems - Strong communication and presentation skills - Process mapping and workflow optimization experience - Comfort working with data and operational metrics - Entrepreneurial mindset with a bias toward execution Requirements - Prompt engineering (bonus skill) - No-code automation tools (Zapier, Make, n8n) (bonus skill) - Power BI, Tableau, or Looker (bonus skill) - SQL or Python (helpful but not required) (bonus skill) - Experience in fintech, payments, or SaaS (bonus skill) Potential Projects - Build an AI-powered Payments Knowledge Assistant for internal teams - Develop AI playbooks for customer onboarding and VendorPay adoption - Create an intelligent SOP and documentation framework - Design decision-support tools for Payment Operations leadership - Map operational processes and identify automation opportunities - Develop AI workflows that reduce repetitive manual work - Build executive dashboards and strategic reporting tools - Evaluate emerging AI technologies and recommend implementation strategies What Success Looks Like - AI-enabled workflows - Reusable knowledge bases - Process improvements - Strategic recommendations - Executive-ready presentations - Operational frameworks that increase scalability and reduce dependency on manual effort Our Philosophy We believe the best organizations do not simply add people—they build better systems. Our team is efficient, yet curious, constantly asking: - Can AI solve this? - Can the process be simplified? - Can we build something that scales? If those questions excite you, we’d love to hear from you. Ottimate is an equal opportunity employer that is committed to diversity and inclusion. We do not discriminate based on race, color, national origin, religion, gender, gender expression, sexual orientation, age, veteran status, disability status, or marital status. If you are excited about the role but do not meet 100% of the qualifications listed above, we encourage you to apply. Nothing in this job posting should be construed as an offer or guarantee of employment.

Role Description We are seeking experienced VIC and QLD Years 11-12 English teachers to support the validation of our AI-powered exam revision tool. In this contract role, you'll review AI-generated student responses, evaluate AI-generated feedback and help ensure the quality, accuracy and effectiveness of the learning experience. This opportunity might suit you if: - Have at least 3 years' experience teaching Years 11–12 English in Victoria or Queensland - You are experienced in peer-checking educational content and providing feedback to others - Have excellent attention to detail and a strong commitment to quality - Are comfortable using technology and interested in the role of AI in education Project details: - Project commencement: Late June 2026 - Duration: Approximately 3 weeks - Commitment: Around 12 hours total, with flexibility to work around your schedule - Engagement: Independent contractor arrangement - Payment: $750 AUD If you'd like to contribute to the future of AI-assisted learning, we'd love to hear from you. Please apply with your resume and a brief cover letter outlining your relevant experience and availability for the role. Qualifications - At least 3 years' experience teaching Years 11–12 English in Victoria or Queensland - Experience in peer-checking educational content and providing feedback - Excellent attention to detail - Strong commitment to quality - Comfortable using technology - Interest in the role of AI in education Requirements - Independent contractor arrangement - Flexibility to work around your schedule Benefits - Payment: $750 AUD - Opportunity to contribute to AI-assisted learning