Remote AI Solutions QA Analyst (Legal Tech)

McDermott Will & Schulte

New York (NY)

Remote

USD 93,000 - 142,000

Full time

3 days ago
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Benefits offered by this job

Remote-first team
Performance-based bonuses

Job summary

McDermott Will & Schulte is building one of the most ambitious AI programs in the legal industry, and you will own the full QA lifecycle—from unit tests to system and performance testing. You will collaborate with Analysts and engineering to ensure every solution is tested and production-ready, leveraging AI to enhance efficiency.

We value a highly collaborative, remote-first team that emphasizes rigor, quality metrics, and continuous improvement.

Qualifications

  • 4+ years of formal QA experience across full testing lifecycle.
  • Experience writing and executing test scripts (manual and automated).
  • Experience with CI/CD pipelines; Azure DevOps preferred.
  • AI fluency; ability to leverage AI for test case generation and evaluation.
  • Understanding of performance and scalability testing concepts; load testing a plus.
  • Defect tracking, test documentation, and quality metrics reporting.

Responsibilities

  • Own the full QA lifecycle for AI-powered solutions across unit, integration, system, performance, and scalability testing.
  • Collaborate with Analysts to generate and evaluate test cases using AI-assisted tools.
  • Integrate automated test suites into the Azure DevOps CI/CD pipeline for each solution.
  • Define system-level test strategies with the Director of QA including functional and non-functional testing.
  • Coordinate with security teams to translate security guidance into test cases.
  • Maintain test documentation, defects, and quality metrics for leadership visibility.

Skills

QA Experience
Unit Testing
System Testing
Automation Testing
AI fluency

Education

BS in Computer Science

Tools

Azure DevOps
CI/CD Pipelines
Load Testing

Job description

McDermott Will & Schulte is building one of the most ambitious AI programs in the legal industry, and you will own the full QA lifecycle—from unit tests to system and performance testing. You will collaborate with Analysts and engineering to ensure every solution is tested and production-ready, leveraging AI to enhance efficiency.

We value a highly collaborative, remote-first team that emphasizes rigor, quality metrics, and continuous improvement.

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