Role Description We are hiring Creative Writing Generative AI Analysts in the United States to perform annotation efforts of multimedia and language data labeling and review work (e.g., video, images, and related metadata). This role focuses on annotation, data quality, prompt evaluation, and the creation of high-quality datasets used to train and improve generative AI models. What You’ll Do - Perform annotation and labeling tasks for generative AI datasets, including text, image, video, and multimodal content. - Create, review, and evaluate prompts and responses across a variety of domains and use cases. - Conduct quality assurance reviews to ensure annotation accuracy, consistency, and adherence to guidelines. - Assist in developing and refining annotation guidelines and evaluation criteria. - Support data collection, categorization, tagging, and evaluation workflows for machine learning systems. - Identify edge cases, inconsistencies, and quality issues within datasets and model outputs. - Collaborate with internal teams and external partners to improve annotation quality and operational efficiency. - Provide feedback on workflows, tooling, and annotation processes. Qualifications - Native level proficiency in English with excellent written and verbal communication skills. - Work Authorization is required for the role. - Strong attention to detail and ability to follow complex annotation guidelines. - Interest in creative writing, generative AI, machine learning, and emerging AI technologies. - Experience with data annotation, content evaluation, labeling operations, or quality review workflows preferred. - Bachelor’s degree or equivalent practical experience. Requirements - Familiarity with generative AI systems, large language models, RLHF, or multimodal AI workflows. - Domain knowledge in Law/Medical/Math/Coding/etc. is a plus. - Bilingual proficiency is a plus (Korean, Japanese, Mandarin, Spanish, German, or French). - Experience annotating prompts, responses, images, video sequences, or other AI training data. - QA/testing experience within AI, data operations, or content review environments. - Experience working with evaluation rubrics, taxonomy development, or dataset quality initiatives. - Python or scripting experience is a plus. Benefits - Pay Rate: $28.80/hour. - Employment Type: W2 Full-Time Employee. - Hours: 40 hours per week.

• Responsible for the development, testing and delivery of the NICE CXone AI software platform. • Implement the NICE Proactive AI Agent, Cognigy and Omilia software. • Develop NICE Cognigy and Proactive AI product and features. • Unit testing, code reviews, resolving defects encountered during the QA cycle. • Support the production environment and assist other developers in a team environment.

• Design and develop scalable AI learning programs, curriculum, and training materials • Support enablement initiatives across platforms and workflows such as Microsoft Copilot, Claude, ChatGPT Enterprise • Deliver engaging workshops, training sessions, and hands-on enablement experiences • Create learning assets such as prompt libraries, job aids, playbooks, guides, assessments, and LMS-based learning content • Partner with internal teams and enterprise clients to support AI adoption and user enablement efforts • Translate complex AI concepts into practical, accessible learning experiences for both technical and non-technical audiences • Support change management and adoption strategies • Continuously experiment with AI tools and stay current with evolving AI technologies

Role Description We are seeking a rigorous, high-ownership, and fast-paced Agriculture Program Lead to join our founding team and lead the design and execution of our Agriculture portfolio: starting with AI-enabled weather forecasting and advisory services for smallholder farmers, with potential to expand into adjacent agriculture interventions over time. - Own and lead the Agriculture program strategy: Set the multi-year vision and annual workplan to reach tens of millions of smallholder farmers with high-quality, AI-enabled forecasts and advisory services. - Drive state and national government partnerships: Build trusted relationships with ministries of agriculture, state-level governments, and meteorological agencies to enable forecast dissemination at scale, with a focus on institutionalization over time. - Manage delivery partner relationships: Coordinate with implementing partners and research collaborators to ensure forecasts are delivered cost-effectively and at high quality. - Design and oversee scaling pilots: Launch and evaluate work across new dissemination channels (SMS, WhatsApp, radio, telco partnerships) and new forecast types (e.g., dryspell, short-run), with rigorous learning agendas. - Translate across stakeholders: Serve as an effective bridge among forecasting researchers, AI labs, NGOs, funders, and government counterparts; communicate technical concepts crisply to non-technical audiences. - Build and lead the agriculture team: Recruit, coach, and manage country leads, state-level staff, and partner teams; cultivate a high-performance, high-accountability culture. - Drive learning and quality: Embed measurement, feedback loops, and cost-effectiveness analysis into the program; partner with M&E researchers to build the evidence base over time. - Operate in ambiguity: Chart paths forward in new geographies and problem spaces with urgency, rigor, and pragmatism. Qualifications - 5+ years' experience as a builder in international development, with a strong preference for direct experience in agriculture, weather forecasting, smallholder advisory services, agricultural extension, value chain interventions, or rural last-mile delivery. - Training or early career experience in a high-rigor environment (e.g., top-tier management consulting, high-growth NGO program leadership, strategy/econ research) and the ability to rapidly get up to speed in new technical areas including AI/ML forecasting concepts. - Demonstrated success leading agriculture or rural development programs from idea to scaled delivery, including managing multi-stakeholder coalitions with governments, research institutions, NGO implementers, and private sector partners. - A track record as a strong people manager and builder: able to set clear standards, empower others, and cultivate a high-performance culture across distributed and field-based teams. - Experience working with Asian and/or African governments to drive large-scale change, with a strong preference for direct experience working with Indian state governments, ministries of agriculture, or national meteorological agencies. - High EQ and the ability to influence across diverse partners, from AI/forecasting researchers to frontline delivery staff to senior government officials. - Strong fluency with AI tools, and eager to experiment, learn, and adapt to emerging technologies. - Comfort with ambiguity and fast iteration; can define and test hypotheses, adapt quickly, and maintain focus on impact. - Excellent written and verbal communication skills; able to synthesize complex technical ideas into crisp narratives for different audiences. - Willingness and ability to travel extensively internationally (~20-40%), with significant time expected in India and other priority geographies. - Passion for the mission of ensuring that the benefits of frontier AI reach the world's poorest populations, while mitigating its downside risks. Requirements - Exceptional Agriculture Program Lead with strong initiative, agriculture or rural development experience. - Ability to drive outcomes in a fast-moving, high-stakes environment. - High throughput, strong work ethic, and willingness to lean in and work extended hours. - Ability to excel as both an individual contributor and team leader. 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.