Braintrust
BraintrustVerified listing

Financial App Data Contributor, AI Training Project

350 fixed
Remote · United States only
contract
86 openings
Posted September 15, 2026
Not sure you qualify? Match your resume

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.

Aggregated

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.

Typical rangeMedian pay

Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.

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Required skills

Data CollectionFinancial TrackingPaypalVenmoCsvPdfXlsxOfxCredit ReportingTax FilingBudgetingData RedactionFinancial Statements

How applying works

  1. 1. Pre-screen on NearSkill

    A quick application on NearSkill checks your fit against this role.

  2. 2. Finish on the employer’s site

    We hand you to Braintrust’s official application page to complete the form.

  3. 3. Wait for a response

    The employer’s hiring team reviews applications and gets back to you.

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