The work
Bring practical agriculture knowledge to AI model testing and training. You will work with realistic farm and agribusiness scenarios and judge whether AI-generated answers reflect sound professional judgment.
- Create realistic agriculture work problems based on your professional experience.
- Work through yield, input cost, settlement, and farm budget data using practical business judgment.
- Review AI-generated answers and point out mistakes an experienced agriculture professional would catch.
- Give clear, accurate feedback to help improve model performance on farm and agribusiness scenarios.
What it pays and takes
- Pay: $70 per hour.
- Work arrangement: Remote, part-time project work with flexible hours; 20 or more hours per week.
- Location: Open to candidates in eligible countries; not worldwide.
- Experience: At least five years in a professional agriculture role, such as farm manager, agronomist, agricultural lender, or a similar position.
- Education: Bachelor's degree or higher.
- Skills: Hands-on experience building and maintaining spreadsheets in professional work, strong written English, and the ability to explain agriculture-related judgments clearly.
- Helpful background: Experience across multiple crops, regions, or operation sizes; a Certified Crop Adviser or similar credential; or experience in farm lending or grain marketing.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training is work people do to help AI systems learn from examples and to check whether their answers are useful and accurate. This project pays for agriculture expertise because experienced professionals can create realistic work scenarios and spot errors that require real-world judgment.
Listed by OpenTrain AI. Details can change, so check the original posting before applying. View original posting