Agricultural Content Expert, Brazil

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🗣️🇧🇷🇵🇹 Portuguese Required

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Logo of Digital Green

Digital Green

51 - 200 employees

Founded 2008

🌾 Agriculture

🤖 Artificial Intelligence

🤝 Non-profit

Agriculture • Artificial Intelligence • Non-profit

Digital Green is a global development organization focused on enhancing agricultural extension systems with the aid of artificial intelligence. By partnering with governments and grassroots organizations, Digital Green empowers front-line extension workers and farmers through an AI-powered assistant, providing customized advisories to improve productivity, incomes, and climate resilience. Operating in multiple countries across continents, this non-profit organization significantly reduces the cost per farmer for adopting efficient farming practices and boosts farmer incomes, while emphasizing sustainability and innovation in agriculture.

📋 Description

• Review Q&A pairs generated by AI systems, human experts, or synthetic data pipelines. • Evaluate outputs based on agronomic correctness, relevance, clarity, trustworthiness, inclusivity, and farmer usability. • Create, review, and validate agricultural content cards. • Support seasonal advisory planning and content prioritization. • Validate technical correctness and contextual relevance of content.

🎯 Requirements

• Master's degree or higher in Agronomy, Agricultural Extension, Veterinary Sciences, Horticulture, Climate Sciences, or related disciplines. • Minimum 5 years of experience in agricultural advisory, extension, research, or content development. • Strong understanding of farming systems and farmer advisory services. • Ability to review technical content critically and provide actionable feedback. • Preferred Experience working with AI-assisted content systems. • Experience reviewing digital agricultural advisory content. • Familiarity with large language models (LLMs), AI evaluation, or RLHF processes. • Experience integrating climate and gender considerations into agricultural recommendations.

🏖️ Benefits

• Flexible work arrangements • Professional development • Monthly hours based on project needs • Compensation based on approved outputs

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