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Google Wallet and Plaid Task Participant

Complete structured Google Wallet and Plaid account tasks from Japan, report issues, and share clear feedback. The contractor engagement requires at least 20 hours per week and four hours of Pacific Time overlap.

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OpenTrain AI

Data Collection

Remote

1 country

Eligibility

Entry

Experience

Oct 2, 2026

Posted

Open to applicants in

Japan

The work

You will complete assigned account and task experiences using Google Wallet and Plaid. You will follow instructions, describe setup steps and task results, report unexpected issues, and keep project information confidential.

  • Complete assigned activities using Google Wallet and Plaid.
  • Explain account setup steps and describe your experience accurately.
  • Report problems or unexpected behavior during the tasks.
  • Use the approved secure process for account connections.
  • Complete required permissions, consent forms, and confidentiality agreements.

What it pays and takes

This is an entry-level individual contractor engagement. The listing does not specify a pay rate.

  • Location: You must currently reside in Japan.
  • Language: Japanese.
  • Schedule: At least four hours per day and a minimum of 20 hours per week.
  • Time overlap: Four hours of availability overlapping with Pacific Time.
  • Length: The engagement may continue for up to 16 weeks.
  • Google Wallet: You must actively use it, have at least one linked payment method, and have at least five saved passes.
  • Accepted Wallet items include credit cards, debit cards, bank accounts, loyalty cards, transit passes, event tickets, and membership cards.
  • Plaid: You must have an existing account or be willing to securely connect a bank account for the assigned work.
  • You need careful attention to account details and instructions, accurate issue reporting, and strong confidentiality.

How it works

Apply on OpenTrain with your resume and then complete the application on the hiring site.

About AI training work

AI training work uses real tasks, examples, and human feedback to help improve how AI systems work. People with relevant experience are paid to complete tasks carefully, describe what they see, and identify problems that automated systems may miss.

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