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Create brokerage support questions and review AI responses for accuracy and relevance.

OpenTrain AI
Remote, United States Posted Nov 7, 2026
RemoteUSD 75 / hour

About this role

Generative AI & RLHF

Remote Hourly · $75/hr

$75/hr

Compensation

Contract

Engagement

Remote

Location

Nov 7, 2026

Posted

Open to applicants in

United States

The work

Use your knowledge of brokerage support work to help improve AI systems. You will create realistic questions and assess whether AI responses reflect accurate, relevant brokerage practices.

  • Write questions about brokerage responsibilities, workflows, and terminology.
  • Review AI responses about client needs, deals, documentation, and transactions.
  • Follow written guidelines and give clear feedback.
  • Use discretion when handling sensitive or proprietary information.

What it pays and takes

  • Pay: Up to $75 per hour, depending on the project.
  • Hours: Typically about 5–20 hours per week when assigned to an active project; scheduling is flexible and asynchronous.
  • Location: Remote work open to candidates in the United States. You need reliable internet and a desktop or laptop.
  • Work type: Independent contractor; project opportunities open periodically throughout the year.
  • Experience: Hands-on experience supporting brokers or advisors with client workflows, documentation, transaction coordination, or operations.
  • Skills: Strong writing, attention to detail, independent work, sound judgment, reliability, and discretion.
  • No prior AI or technical experience is required. Relevant backgrounds include brokerage coordination, sales support, client service, transaction coordination, and deal support in real estate, insurance, or financial services.
  • Language: Professional fluency in English.

How it works

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

About AI training work

AI training work means creating and reviewing examples that help AI systems learn, including evaluating the accuracy and relevance of their answers. People with relevant professional experience can contribute useful judgment about how work is done in their field.

Requirements

  • Languages: English

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