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Concierge AI Training Evaluator

OpenTrain AI
Remote; United States Posted Nov 7, 2026
RemoteUSD 60 / hour

About this role

Generative AI & RLHF

Remote Hourly · $60/hr

$60/hr

Compensation

Contract, part-time

Engagement

Remote

Location

Nov 7, 2026

Posted

Open to applicants in

United States

The work

Use your professional concierge experience to help evaluate AI responses. You will write realistic prompts, review the answers, and provide clear, structured feedback.

  • Create prompts based on real estate concierge and guest-service situations.
  • Review responses about local attractions, dining, events, travel, reservations, and special requests.
  • Assess practical judgment, task handling, and clear communication.
  • Evaluate scenarios involving errands, luggage, business services, special events, and support for special needs.
  • Explain your decisions in feedback that helps improve the model's understanding of concierge work and workplace language.

What it pays and takes

  • Pay: Up to $60 per hour, depending on the project.
  • Hours: 20+ hours per week, with flexible scheduling.
  • Location: Remote; open to candidates in the United States.
  • Work arrangement: Contract, part-time, and asynchronous.
  • Professional background: At least four years of experience in real estate concierge or closely related concierge work.
  • Skills: Fluent in English, strong written communication, and the ability to work independently and asynchronously.
  • Relevant experience: Assisting guests with local information, reservations, dining, events, or travel, and handling unique requests, special events, special needs, errands, luggage, or business services.
  • Helpful background: Arranging specialized services, coordinating complex guest requests, and balancing multiple service needs.

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 where people create examples and review AI responses to help improve how models handle real tasks. Professional experience is valuable because it helps contributors judge whether an answer reflects sound workplace knowledge and practical judgment.

Requirements

  • Languages: English

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