Real Estate Agent Expert for AI Training (English)

Use your real estate experience to create challenging questions and case studies for AI training. You will also assess model answers and give detailed feedback to help improve the training materials.

• Write questions and scenarios about property valuation, contract negotiation, market analysis, financing structures, zoning regulations, and property management.
• Test whether AI models can apply real estate principles to practical situations.
• Review answers for accuracy, regulatory alignment, and consistency with real estate best practices.
• Suggest adjustments to question difficulty so the material is challenging and educational.
• Work with real estate and technical experts to improve the quality of the materials.

What it pays and takes

• Pay: $75 per hour.
• Hours: 20 or more per week. Work is flexible and can be completed asynchronously.
• Location: Remote, open to candidates in the eligible countries for this role.
• Language: Fluent in English.
• Requirements: An active real estate license in good standing; experience in real estate practice, brokerage, or property management; and a strong understanding of transactions, property markets, and industry practices.
• Requirements: Strong analytical, written, and verbal communication skills, plus careful attention to detail.
• Helpful background: Experience in residential, commercial, or investment property; involvement in industry publications, associations, or proptech initiatives; or designations such as CRS, GRI, CCIM, or CPM. Familiarity with technology-driven real estate applications is also useful.

How it works

OpenTrain is a platform where people find AI training work, build a profile, and start an application. Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training uses examples prepared and reviewed by people to help AI models learn how to answer. Real estate experience helps make those examples and evaluations accurate for the field.