Remote AI QA Engineer: Data, AI Outputs & Brand Tests

Scale Army Careers; Ciudad de México; Remote; MXN 1,485,000 - 2,228,000; Full time

Job summary

Scale Army Careers seeks an AI-Enabled QA Engineer to test tools supporting acquisitions, financial analysis, and marketing operations. You will write automated checks, validate AI outputs, and define production-ready criteria, collaborating with engineers, product managers, M&A and marketing leads, and IT leadership.

The role emphasizes end-to-end QA across data validation, document extraction, and brand assets, with remote work and US-hour overlap for client alignment.

Qualifications

• 3+ years QA experience across manual and automated testing.
• Experience testing data-heavy applications beyond UI.
• Experience with data validation and API testing.
• Experience evaluating AI-generated outputs methodically.
• Experience testing document-heavy or extraction-based systems is a plus.
• Healthcare or finance domain testing experience is a plus.

Responsibilities

• QA & Test Automation: Build tests with Playwright/Cypress/Selenium and pytest for underlying systems.
• Design test cases using equivalence, boundaries, negative and edge cases.
• Run tests via CI pipelines to automate checks.
• Track and triage defects using Jira/Linear/Azure DevOps.
• Write actionable bug reports for engineers to act on.
• Validate data with SQL and test APIs using Postman or code.
• Evaluate AI outputs with fixed examples and trace results to source documents.
• Test document extraction for rotated/missing signatures scenarios.
• Verify target analyses match source financials and ensure traceability.

Skills

Test automation

SQL verification

API testing

CI pipelines

Tools

Playwright

Cypress

Selenium

Postman

Jira

Azure DevOps

Job description

Scale Army Careers seeks an AI-Enabled QA Engineer to test tools supporting acquisitions, financial analysis, and marketing operations. You will write automated checks, validate AI outputs, and define production-ready criteria, collaborating with engineers, product managers, M&A and marketing leads, and IT leadership.

The role emphasizes end-to-end QA across data validation, document extraction, and brand assets, with remote work and US-hour overlap for client alignment.