AI QA Engineer $60,000 USD/year Pay is set based on global value, not the local market.
Most roles = hourly rate x 40 hrs x 50 weeks
Not accepting applications on crossover.com at this time.
Description
Ready to revolutionize quality assurance through artificial intelligence? As our AI QA Engineer, you'll transcend traditional testing paradigms by architecting intelligent, self-evolving test frameworks that anticipate issues before they materialize. Forget manual test cases and brittle scripts—you'll harness the power of generative AI to simulate unpredictable user behaviors, dynamically generate stress conditions, and uncover hidden vulnerabilities that conventional testing would miss.
Unlike traditional QA roles where you'd be isolated at the end of the development cycle, you'll be embedded directly within our product development ecosystem. You'll pioneer AI-driven quality assurance by teaching machines to generate comprehensive test plans, scripts, and synthetic data directly from product requirements. This isn't about passively responding to tickets—it's about proactively building an AI intelligence layer that safeguards product quality.
We're redefining QA through automated quality analytics, AI-simulated failure scenarios, and real-time coverage insights that directly influence release decisions. You won't just be validating code; you'll be engineering the neural network that ensures quality at every stage. It's challenging, innovative, and pushes technical boundaries daily.
Join our cutting-edge, AI-first product team focused on delivering exceptional user experiences. If you're a technical detective who can build scalable automation frameworks and bend artificial intelligence to elevate quality assurance to new heights—we want to hear from you!
What you will be doing
- Architect and evolve sophisticated AI-powered test automation frameworks that scale with our product growth
- Leverage generative AI technologies to analyze test results, detect subtle patterns in defects, and transform findings into actionable product improvements
- Craft AI systems capable of simulating diverse user behaviors, complex stress scenarios, and boundary conditions to preemptively identify potential issues
Key responsibilities
- Safeguard product excellence through innovative AI-driven QA automation, comprehensive quality audits, and intelligent monitoring systems that maintain consistent release integrity
Candidate requirements
- Minimum 4 years of progressive experience in quality engineering, with demonstrated expertise in designing and implementing robust test automation frameworks
- Practical experience integrating or developing generative AI solutions for software development or quality assurance workflows
- Strong programming proficiency in at least one modern language, with the ability to architect complex automation systems
Applying for a role? Here’s what to expect.
Crossover's skill assessment process combines innovative AI power with decades of human research, to take the guesswork, human bias, and pointless filters out of recruiting high-performing teams.
Chat-style screening interview.
Cognitive aptitude test.
Prove real-world job skills.
Interview with the hiring manager.
Accept job offer.
Pass proctored test.
Frequently asked questions
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The Olympics of work
It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.
Premium pay for premium talent
Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.
Shortlist by skills, not bias
We don’t care where you went to school, what color your hair is, or whether we can pronounce your name. Just prove you’ve got the skills.
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