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Open nowFirst seen 4 days ago

QA Lead

Bravo Global Staffing43 open roles

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Your applicationOpen nowQA LeadBravo Global Staffing

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 4 days ago

The posting

Location: Remote | Type: Full-time

About the Role

We are seeking a QA Lead to own the quality of all deliverables. You will create systems, checks, and feedback loops to ensure data is accurate, consistent, and client-ready. This role involves building a QA framework and managing the delivery process alongside development and research teams.

Key Responsibilities

  • Collaborate directly with developers and researchers to integrate QA processes effectively.
  • Define and enforce data quality standards across all deliverables (valid emails, no duplicates, correct enrichment, consistent formatting).
  • Create and maintain QA checklists, SOPs, and error logs.
  • Review outputs from automation, analysts, and researchers before delivery.
  • Log, categorize, and track errors; update processes to prevent recurrence.
  • Report on QA metrics, including error rates, turnaround time, and recurring issues.
  • Train analysts and researchers on error prevention best practices.

Requirements

  • 3+ years in Quality Assurance, Data Operations, or Process Management.
  • Strong attention to detail and process-oriented mindset.
  • Experience creating QA systems, checklists, and structured error tracking.
  • Proficiency in spreadsheets (Google Sheets, Airtable, Excel).
  • Clear communicator capable of enforcing standards and coaching team members.

Must-Have Experience

  • Familiarity with property data and record filings, including preforeclosures, divorce, probates, and other document types.
  • Understanding of legal descriptions and applications in property records.
  • Experience with high-volume, accuracy-critical data environments.

Why Join

  • Lead QA efforts and build systems from the ground up.
  • Directly impact data accuracy and client trust.
  • Collaborate with cross-functional teams to minimize errors and improve processes.
  • Opportunity to scale QA frameworks in a fast-growing data environment.
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