You will provide agriculture, forestry, and environmental expertise for AI training and evaluation. Your work will help assess whether AI-generated content, datasets, documents, scenarios, technical explanations, and policy guidance are accurate and useful in real-world settings.
You will review materials across sustainability, conservation, land management, and related fields. You will also explain technical topics, assess industry practices and regulations, and give clear recommendations.
- Review, annotate, and validate datasets, documents, and scenarios for accuracy, relevance, and practical use.
- Evaluate AI outputs and written guidance related to agriculture, forestry, environmental management, conservation, and sustainability.
- Assess industry practices, challenges, innovations, regulatory frameworks, sustainability initiatives, and emerging trends.
- Create and improve technical content, process explanations, and policy guidance for different agricultural and environmental settings.
- Take part in written and verbal discussions that clarify project goals and deliverables.
- Support interdisciplinary collaboration and apply subject-matter expertise consistently throughout project work.
What It Pays And Takes
This is a part-time contractor role for candidates with professional experience in agriculture, forestry, environmental conservation, or a closely related field. The listing is marked entry level, and the role also requires the professional background described below.
- Pay: $40 to $60 per hour.
- Work type: Part-time contract work.
- Location: Open to candidates in Algeria, Argentina, Austria, Bahrain, Bangladesh, Belgium, Brazil, Canada, Chile, Colombia, Denmark, Egypt, France, Germany, Ghana, Greece, India, Indonesia, Italy, Japan, Jordan, Kazakhstan, Kenya, Kuwait, Kyrgyzstan, Lebanon, Malaysia, Mexico, Morocco, the Netherlands, Nigeria, Oman, Pakistan, Palestinian Territories, Peru, the Philippines, Portugal, Qatar, Saudi Arabia, Singapore, South Africa, Spain, Sri Lanka, Switzerland, Taiwan, Thailand, Tunisia, the United Arab Emirates, the United Kingdom, the United States, Uzbekistan, and Vietnam.
- Language: Fluent English.
- Experience: At least five years of professional experience in agriculture, forestry, environmental conservation, or a closely related field.
- Expertise: Strong knowledge of sustainable agriculture, land management, conservation practices, or another relevant specialist area.
- Skills: Clear written and verbal communication, technical accuracy, complex-systems analysis, problem-solving, and the ability to provide actionable recommendations.
- Knowledge: Familiarity with regulatory standards, industry trends, and technology used in agriculture and environmental management.
- Relevant backgrounds: Agricultural engineering, food science, farm or ranch management, conservation science, or forestry.
- Additional experience with interdisciplinary collaboration is relevant, and an advanced degree in a related field is valued.
How It Works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI Training Work
AI training is the human work behind systems that learn from examples. People review content, prepare datasets, and assess model responses so AI systems can produce more accurate and useful results, with experienced specialists contributing knowledge from fields such as agriculture and environmental science.