In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

• Contribute domain-specific knowledge to support the training and evaluation of AI-driven solutions in agriculture, forestry, and environmental science.
• Provide detailed assessments on industry practices, challenges, and innovations across subdomains such as agricultural engineering, food science, conservation, and land management.
• Review, annotate, and validate datasets, documents, and scenarios to ensure the accuracy and relevance of AI systems in real-world applications.
• Create and refine technical content, process explanations, and policy guidance for diverse agricultural and environmental contexts.
• Advise on regulatory frameworks, sustainability initiatives, and emerging trends relevant to agriculture, forestry, and environmental conservation.
• Participate in written and verbal discussions to clarify project objectives, share insights, and align on deliverables.
• Support interdisciplinary collaboration among project stakeholders, ensuring consistent application of expert knowledge throughout project phases.

Work arrangement: Fully remote

Location: Remote.