
Financial App Data Contributor, AI Training Project
Listing checked October 29, 2026 · pay as published by Braintrust
Key details
- Pay
- $350 fixed
- Location
- Remote · United States onlyUnited States
- Job type
- contract
- Openings
- 86
- Posted
- September 15, 2026
Overview
Scaler AI Labs needs US-based contributors to supply real financial-app account data for a short-term AI training project. You pull native exports from accounts you already own, run them through an on-device redaction tool, and upload the cleaned files to the client's secure platform. Six qualifying accounts form the baseline: a bank, a credit card, a payment or peer-to-peer app, a credit-score service, a tax service, plus one elective from investing, budgeting, crypto, lending, student loans, mortgage, insurance, payroll, or retirement. Regional banks, credit unions, and card issuers all count, so no particular national institution is required. Most files should carry at least a year of recent history across similar time periods.
What You'll Do8
- Download native account-history or activity exports from at least six qualifying accounts you own.
- Cover the five mandatory categories (bank, credit card, payment app, credit score, tax) plus one elective category.
- Run each export through the project's local tool so personal and financial identifiers get stripped before anything leaves your device.
- Submit the cleaned CSV, PDF, XLSX, or OFX files through the client's secure project platform.
- Confirm each file holds about a year of recent activity and covers consistent time windows.
- Fix any flagged issues and resubmit until the submission reaches Final Approval.
- Review and accept the project's consent, privacy, and data-license terms during onboarding.
- Optionally add a self-made budget or spending tracker alongside the account files.
Requirements6
- At least 18 years old and living in one of the 50 US states, Washington DC, Puerto Rico, or another eligible US territory.
- Active accounts in all five mandatory categories plus at least one elective category.
- Willingness to install and use the project's local redaction tool on your own device.
- Ability to pull native exports holding a year or more of recent history from each qualifying account.
- Comfort following project instructions and making any required corrections before approval.
- Accounts at regional banks, credit unions, and card issuers qualify, so a national institution is not needed.
Preferred Qualifications1
- A self-created budget or spending tracker, which is welcome but never required
Who Should Apply
Someone who already juggles six or more financial apps and can export a year of history from each. You keep your own records, you handle CSV, PDF, XLSX, or OFX files without trouble, and you will run a local redaction tool before uploading. US residents 18 and older with accounts across banking, cards, payments, credit, and tax fit this project.
Salary Insight
$350 USD for one submission that earns Final Approval. Partial, rejected, or unfinished work pays nothing, so the full amount lands only after the cleaned files clear review. Budget about 20 to 30 minutes when your exports sit ready, or 60 to 90 minutes to gather the files and finish the workflow.
Pay and demand for AI Training roles
Market estimates from live NearSkill listings — separate from this job's published terms.
This role · as published
$350 fixed
Taken from the listing itself.
Typical pay · estimated
$68/hour
Median of 1,166 similar roles that publish pay · 299 publish only a top rate; those count at the rate they gave
Most AI Training roles pay $38–$95 per hour.
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 1,348
- Listed in last 30 days
- 689
- Remote
- 98%
Hiring most right now: micro1 (337) · SME Careers (253) · Mercor (192)
Most requested skills · share of roles
- ai evaluation15%
- llm evaluation13%
- data annotation13%
- ai training12%
Figures from AI Training roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
Compare your resume against these rolesRequired skills
How applying works
1. Pre-screen on NearSkill
A quick application on NearSkill checks your fit against this role.
2. Finish on the employer’s site
We hand you to Braintrust’s official application page to complete the form.
3. Wait for a response
The employer’s hiring team reviews applications and gets back to you.
Similar jobs
Open roles that match this listing's skills and level.
BraintrustPersonal Finance & Tax Expert - AI Training
BraintrustSenior Personal Finance & Tax Expert - AI Training
micro1Finance & Accounting Expert
SME CareersFintech and Crypto SME Expert for AI Training
AfterQueryFinance Expert - Remote AI Response Review
Handshake AI
