Remote AI Automation QA Engineer - AI-Driven Regression

Twinhealth; Edison (CA); Hybrid; USD 130,000 - 140,000; Full time

Benefits offered by this job

Equity participation

Unlimited vacation

Parental leave

Health insurance

401k

Job summary

Twin Health is seeking an AI Automation QA Engineer to advance AI-driven testing across web and mobile apps. This hybrid role is based in the Menlo Park office and requires experience in end-to-end regression, data generation, and collaboration with cross-functional teams to ensure exceptional user experiences.

The candidate should have 3+ years in QA automation, strong coding skills, and familiarity with AI testing tools and REST APIs.

Qualifications

• Bachelor's degree in CS or related field.
• 3+ years QA with test automation focus.
• Experience with web UI and mobile testing.
• Experience AI-driven regression automation using Claude or similar.
• Experience with SQL databases and REST APIs.
• Familiarity with performance testing tools like JMeter or Locust.

Responsibilities

• Derive end-to-end regression tests with stakeholders.
• Build AI-driven automated regression for web/mobile apps.
• Contribute to evaluation of internal models.
• Develop data generation for testing scenarios.
• Collaborate with developers, PMs and UX for quality.
• Perform other duties as assigned.

Skills

Web UI testing

Mobile testing

AI-driven regression

Communication skills

Analytical thinking

QA engineering

Java/Python/JS

Playwright

Selenium

Appium

SQL databases

Test data generation

REST APIs

Performance testing

Internal model evaluation

Healthcare domain

Education

Bachelor's degree in CS or related

Tools

Playwright

Maestro

Appium

Selenium

Job description

Twin Health is seeking an AI Automation QA Engineer to advance AI-driven testing across web and mobile apps. This hybrid role is based in the Menlo Park office and requires experience in end-to-end regression, data generation, and collaboration with cross-functional teams to ensure exceptional user experiences.

The candidate should have 3+ years in QA automation, strong coding skills, and familiarity with AI testing tools and REST APIs.