Remote Position

#50349

🌍 Remote · United States 💼 Full-time

Project Summary

As a contributor, you will collect and submit diverse transaction receipts (email, photo, and PDF formats) to build high-quality datasets used for training enterprise AI models.

Key Responsibilities
  • Collect and upload legible transaction documents, including digital email receipts, clear photos of physical receipts, and PDF invoices.
  • Ensure all submitted assets meet exact project guidelines, including merchant limits, formatting rules, and metadata requirements.
  • Complete brief onboarding, project guidelines review, and initial pilot tasks prior to live submissions.
  • Submit data through the secure web platform while adhering to strict privacy and data security standards.
  • Requirements
  • Located in HERE IS MUST BE LOCALE ( one of the 41 designated project locales; see the table below).
  • Regular access to everyday consumer receipts across different merchants.
  • Smartphone or computer with camera/scan capabilities and stable internet connectivity.
  • High attention to detail and ability to follow precise submission guidelines.
  • Project Details & Benefits

    Role Type: Freelance / Crowdsourced Contributor

    Work type: Remote

    Compensation: Paid per accepted/validated assets

    Schedule: Fully flexible, task-based work

    Located in one of 41 designated project locales; regular access to consumer receipts; smartphone or computer with camera/scan capabilities; stable internet; high attention to detail.

    Key Responsibilities

    • collecting receipts
    • uploading documents
    • following guidelines

    Job Details

    • Category: Data and Analytics
    • Seniority: No Prior Experience Required
    • Commitment: Contract
    • Workplace: Remote — United States
    • Languages: English

    About Mindy

    A company that builds high-quality datasets for training enterprise AI models. — Industry: Information Technology

    Apply Now →

    More Open Positions

    Explore similar remote opportunities