Software Engineer – Paid Finance Data Project (Remote)

Human Data Labs is conducting a short-term paid financial data project for US-based software engineers and working professionals. The role involves exporting and redacting personal financial data from various financial apps and services, ensuring data privacy and quality before submission. Participants must follow detailed instructions and complete the project within the required timeline.

Responsibilities:

• Export data from financial apps and services you personally use
• Provide data from at least 1 service in each of the 5 mandatory categories: Banking & Neobanks, Credit Cards, Payments, P2P & Wallets, Credit Score & Identity, Tax Filing
• Provide exports from at least 2 additional eligible financial apps/services, bringing your submission to a minimum of 7 apps/services total
• Submit 2 self-created financial artifacts, such as budget spreadsheets, tax workbooks, or net-worth/debt trackers
• Use the provided PII-redaction tool to remove personal and banking identifiers on your own device before uploading your files
• Follow project instructions to ensure your exports cover matching time periods and meet recency and quality requirements
• Review and resubmit files if they are returned for rework during the quality review process

Requirements:

• You must be 18 years of age or older
• You must be a US resident
• You must have a regular earning stream
• You should be an experienced working professional
• You must currently use financial services across all 5 mandatory categories
• You must use at least 2 additional qualifying financial apps/services
• You must be comfortable downloading and exporting data from your own accounts
• You must be able to follow detailed instructions and data submission requirements
• You should have strong attention to detail and be able to complete submissions accurately
• You must be comfortable using a provided tool to redact personally identifiable information before submission
• You must be able to complete the project within the required timeline