The work
You will apply professional knowledge of agriculture, forestry, environmental conservation, and related fields to AI training and evaluation work. The role combines expert review, technical content development, and practical guidance for real-world agricultural and environmental applications.
You will review documents, datasets, and scenarios for accuracy and relevance. You will also explain processes, assess sustainability and environmental practices, and contribute to written and verbal discussions about project goals and deliverables.
- Review, annotate, and validate datasets, documents, and scenarios.
- Assess agricultural practices, operational challenges, innovations, sustainability initiatives, and emerging trends.
- Create and refine technical content, process explanations, and policy guidance.
- Advise on regulatory frameworks and environmental management practices.
- Support interdisciplinary collaboration and consistent expert judgment throughout projects.
What it pays and takes
This is a remote, part-time contractor opportunity. The work requires professional judgment and clear communication when evaluating AI outputs and real-world agricultural and environmental information.
- Pay: $40 to $60 per hour.
- Work arrangement: Remote, part-time contract work.
- Language: Professional fluency in English.
- Required experience: At least five years of professional experience in agriculture, forestry, environmental conservation, or a related area.
- Required expertise: Sustainable agriculture, land management, or conservation practices.
- Skills: Clear written and verbal communication, technical accuracy, complex-systems analysis, problem-solving, and actionable recommendations.
- Knowledge: Current regulatory standards, industry trends, and technologies in agriculture and environmental management.
- Relevant background: Agricultural engineering, food science, farm or ranch management, conservation science, forestry, interdisciplinary projects, or an advanced degree in a related field.
- 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.
How it works
You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.
The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 3 screening questions.
About AI training work
AI training work uses human judgment to prepare and evaluate examples that help artificial intelligence systems improve. Agriculture and environmental experts are needed because accurate guidance in these fields depends on professional knowledge of land, conservation, regulations, and sustainable practices.