AI Training Specialist

You will help improve AI-generated answers to national park visitor questions. Your park operations knowledge will guide reviews of questions and answers about passes, fees, permits, reservations, regulations, safety, and trip planning.

The work is remote and asynchronous. You will provide clear written feedback to the team.

• Review sample questions and flag those that do not sound like real visitor questions.
• Write rubrics that define correct and complete answers about passes, entrance fees, permits, and reservations.
• Include park regulations, visitor safety, and trip planning in the rubrics.
• Evaluate AI-generated answers against the rubrics.
• Flag errors, missing information, and outdated guidance.
• Share clear written feedback asynchronously.

What It Pays and Takes

This is a short-term, part-time independent contractor project. No previous AI experience is required, but practical national park operations knowledge is central to the work.

• Pay: $50 to $150 per hour.
• Time: Approximately 15 to 25 hours per week.
• Location: Open to candidates based in the United States.
• Experience: Current, former, or seasonal National Park Service experience as a park ranger, interpretive ranger, or visitor services staff member.
• Experience: At least one year answering visitor questions or working with passes, permits, reservations, or fees.
• Knowledge: Park regulations and visitor safety.
• Skills: Clear, precise writing and fluent English.
• Availability: Able to start quickly.
• Helpful: Experience with digital reservation and pass systems such as Recreation.gov.
• Helpful: Experience delivering interpretive programs or creating guides, FAQs, or training materials.
• Helpful: Experience helping visitors from diverse backgrounds, including rural and non-English-speaking guests.

How It Works

OpenTrain is where people find AI training roles and start their applications. Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI Training Work

AI training work uses human judgment to help improve how AI systems answer real questions. People with relevant experience are paid to review model responses, identify errors, and define what accurate, useful answers should include.