Software Engineer – Paid Finance Data Project (Remote)

Careerflow.ai•,

10h•Remote

About The Position

Human Data Labs is looking for US-based software engineers and other working professionals to participate in a short-term paid financial data project. This is a project-based data opportunity, not a software engineering position. We're specifically looking for working professionals who regularly use multiple personal financial apps and services. You'll export historical data from financial services you already use, remove personally identifiable information using a provided privacy tool on your own device, and submit the redacted files for quality review.

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.

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.