| Location | Austin, TX |
Job description
Our client is seeking US-based contributors for a short-term AI training project involving personal financial-app data. Contributors will download native account-history or activity files from accounts they personally own, use the project’s on-device tool to redact personal and financial identifiers, and submit the resulting cleaned files through the client’s secure project platform.
This opportunity is intended for people who actively use several common financial services. You do not need accounts with specific national institutions. Accounts from legitimate regional banks, credit unions, card issuers, and other supported providers may also qualify.
What You'll Provide
To complete the project, you must provide native account-history or activity exports from at least six qualifying financial apps or accounts. These may include statements, transaction histories, reports, tax transcripts, or equivalent CSV, PDF, XLSX, or OFX files:
The submitted account-history or activity files should generally contain at least one year of recent data and cover reasonably consistent time periods. The project team will provide platform guidance, export instructions, and support for project-related questions.
Self-created financial artifacts, such as a personal budget or spending tracker, are welcome but optional. Not having one does not disqualify you.
Privacy and Project Process
Eligibility
Time Commitment
The client estimates that completion may take approximately 20-30 minutes when all account-history or activity exports are already available. Retrieving those files and completing the full workflow may take approximately 60-90 minutes depending on the institutions and account history. These are estimates, not guaranteed completion times.
Compensation
Compensation is $350 USD for one completed submission that receives Final Approval. Partially completed, rejected, or unfinished submissions are not eligible for payment.