AI Training Expert - Agriculture & Environment (Part-Time)

OpenTrain AI, Inc.; United States; Remote; USD 55.000 - 83.000; Teilzeit

Zusammenfassung

OpenTrain AI, Inc. seeks a part-time contractor with expertise in agriculture, forestry, and environmental conservation to support AI training and evaluation. Review datasets, assess AI outputs, and provide actionable recommendations across sustainability and land management. Fluent English and five years’ experience required.

Role emphasizes interdisciplinary collaboration and delivering technically accurate guidance to improve model reliability and usefulness for real-world settings.

Qualifikationen

• Fluent English.
• Five years of professional experience in agriculture, forestry, environmental conservation, or closely related field.
• Strong knowledge of sustainable agriculture and conservation practices.
• Clear written and verbal communication; complex-systems analysis; problem-solving.

Aufgaben

• Review, annotate, and validate datasets, documents, and scenarios for accuracy, relevance, and practical use.
• Evaluate AI outputs and guidance related to agriculture, forestry, environmental management, conservation, and sustainability.
• Assess industry practices, regulatory frameworks, sustainability initiatives, and emerging trends.
• Create and improve technical content, process explanations, and policy guidance for agricultural and environmental settings.
• Take part in discussions to clarify project goals and deliverables.
• Support interdisciplinary collaboration and apply subject-matter expertise consistently.

Kenntnisse

Written and verbal communication

Technical accuracy

Complex-systems analysis

Problem solving

Actionable recommendations

Ausbildung

Advanced degree

Jobbeschreibung

OpenTrain AI, Inc. seeks a part-time contractor with expertise in agriculture, forestry, and environmental conservation to support AI training and evaluation. Review datasets, assess AI outputs, and provide actionable recommendations across sustainability and land management. Fluent English and five years’ experience required.

Role emphasizes interdisciplinary collaboration and delivering technically accurate guidance to improve model reliability and usefulness for real-world settings.