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Hospitality Worker (Toast POS User) AI Training Expert

Use daily Toast POS experience to review restaurant orders, payments, menus, reports, and workflows for AI training. This remote contractor role pays $28 to $92 per hour and is open to candidates in listed countries.

Apply now

How the AI interview works

  1. Apply here on OpenTrain. You create a free account, and we send you to the hiring platform.
  2. Complete your application on the hiring platform.
  3. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

What to expect

  • It is a conversational interview with an AI recruiter.
  • You can take it any time, from anywhere.
  • It asks open-ended technical questions based on the role, and scenario questions on how you think, solve problems and communicate.
  • You see right away whether you meet the certification criteria. If you do not, you can ask for feedback.
OpenTrain AI

Generative AI & RLHF

Remote Hourly · $28–$92/hr

$28–$92/hr

Compensation

Contract, part-time

Engagement

Remote

Location

Sep 23, 2026

Posted

Open in 52 countries

United States
+ more
  • Algeria
  • Argentina
  • Austria
  • Bahrain
  • Bangladesh
  • Belgium
  • Brazil
  • Canada
  • Chile
  • Colombia
  • Denmark
  • Egypt
  • France
  • Germany
  • Ghana
  • Greece
  • India
  • Indonesia
  • Italy
  • Japan
  • Jordan
  • Kazakhstan
  • Kenya
  • Kuwait
  • Kyrgyzstan
  • Lebanon
  • Malaysia
  • Mexico
  • Morocco
  • Netherlands
  • Nigeria
  • Oman
  • Pakistan
  • Palestine
  • Peru
  • Philippines
  • Portugal
  • Qatar
  • Saudi Arabia
  • Singapore
  • South Africa
  • Spain
  • Sri Lanka
  • Switzerland
  • Taiwan
  • Thailand
  • Tunisia
  • United Arab Emirates
  • United Kingdom
  • United States
  • Uzbekistan
  • Vietnam

The work

You will help AI systems understand restaurant point-of-sale operations by reviewing real Toast POS workflows and turning hospitality practices into clear training material and feedback.

The work includes explaining restaurant technology to both technical and non-technical audiences, in writing and verbally.

  • Review order entry, payment processing, reporting, menus, transaction data, and order flows.
  • Analyze Toast POS workflows, identify functionality gaps, and document common troubleshooting issues.
  • Create scenario-based documentation and step-by-step guides based on restaurant operations.
  • Evaluate transaction data, menus, and order flows to improve AI understanding of restaurant technology.
  • Explain best practices for implementing, configuring, and optimizing POS workflows across restaurant settings.
  • Refine prompts, tasks, and datasets related to restaurant order management.

What it pays and takes

Prior AI experience is not required.

  • Pay: $28 to $92 per hour.
  • Work setup: Remote contractor role.
  • Location: Open to candidates in the listed countries.
  • Language: Professional fluency in English.
  • Experience: Current hospitality work experience with daily, independent use of Toast POS.
  • Knowledge: Strong understanding of how restaurant point-of-sale systems connect order and payment processes.
  • Required: Familiarity with POS needs in quick-service, casual, and fine-dining restaurants.
  • Required: Clear written and verbal communication, plus the ability to document procedures and explain technical and non-technical concepts in user-friendly language.
  • Helpful: Experience training, mentoring, or supporting others with restaurant technology.

How it works

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 5 screening questions.

About AI training work

AI training is the human work behind systems that learn from examples, including reviewing model outputs, writing prompts, and preparing or evaluating data. People with hands-on experience are valuable because they can explain how real restaurant operations work and identify accurate, useful examples for AI systems.

Requirements

  • Experience: Mid-Senior level
  • Languages: English

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