Posted Aug 15, 2026

Contributor Sourcing & Onboarding Specialist – US Finance Data Program

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Title: Contributor Sourcing & Onboarding Specialist – US Finance Data Program Location: United States (must source US-based contributors) Job Type: Fixed-price milestones (or hourly, if you prefer) Description: We're running a paid US data collection program and need a sourcing specialist to identify, vet, and support qualified contributors through completion. What the role involves: Identify and reach out to potential US-based contributors who meet eligibility criteria (see below) Explain the task clearly and answer questions during onboarding Track each contributor's progress (signup → task completion → approval) and follow up to reduce drop-off Troubleshoot issues contributors run into with the submission/redaction tool Maintain a tracking sheet with contributor names, status, and payment method Flag any contributors who appear ineligible, duplicated, or attempting to submit synthetic/fraudulent data Contributor eligibility (what you'll be screening for): US resident, age 18+ Active, regular income/earning stream Uses accounts across the required categories (banking, credit card, payments, credit score, tax filing) with activity within the last 60 days Willing to consent to the program's data use terms and complete verification Comfortable using a provided redaction tool before uploading exports Can complete the task within a 2-week window Submits only real, personally-owned account data — no synthetic, AI-generated, screenshots, or scraped data Compensation: Paid per milestone: a base rate for each contributor you successfully onboard and support through to a completed submission, plus a bonus for each one that reaches final approval Total scope: up to 100 contributors Ideal candidate: Experience with recruiting, community management, or contributor/participant coordination Organized, responsive, comfortable managing a tracking sheet and multiple people at once Based in or familiar with the US freelance/gig contributor landscape