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
Are you an innovative engineer tired of repetitive test cases and fragile scripts? Embrace a transformative QA role where AI is your tool of choice. Lead the charge in creating adaptive test automation frameworks that grow alongside our products. Harness GenAI to redefine QA boundaries by simulating complex user behaviors, generating dynamic stress conditions, and uncovering hidden bugs.
In a landscape where others are bogged down by regressions and reactive measures, we’re pioneering a proactive approach. Our QA team is seamlessly integrated into the product development cycle, automating workflows with GenAI-generated test plans, scripts, and real-time data from live requirements. Say goodbye to waiting for tickets; you’ll engineer an AI layer that preemptively tackles issues before they reach users.
This role isn’t for those clinging to outdated tools and manual testing. Here, QA is revolutionized with automated analytics, AI-driven failure simulations, and real-time feedback that informs release decisions. Rather than validating others’ work, you’ll construct the system that prevents quality lapses. It’s fast-paced, challenging, and deeply technical.
Join our dynamic, AI-centric team focused on crafting the core of our AI-driven user experience. If you’re skilled at building scalable automation frameworks, have a detective’s mindset with code, and can harness AI to your advantage, apply today!
What you will be doing
- Design and implement AI-driven test automation frameworks to enhance test coverage and efficiency.
- Utilize GenAI tools to analyze testing outcomes, discern defect patterns, and provide actionable insights for continuous improvement.
- Leverage GenAI to simulate user scenarios, stress conditions, and edge cases to identify potential issues preemptively.
What you will NOT be doing
- Routine manual testing tasks that consume your time without leveraging AI capabilities.
- Waiting for tickets to dictate your workflow, instead you'll proactively engineer solutions.
- Using outdated, rigid testing tools that don't adapt to evolving product requirements.
Key responsibilities
Candidate requirements
- Minimum of 2 years of QA engineering experience, with proficiency in test automation frameworks.
- Experience in utilizing or developing with GenAI tools for development or quality assurance.
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.
Pass Cognitive Aptitude Test.
Pass English Proficiency Test.
Prove Real-World Job & AI Skills.
Ace An Interview Or Two.
Accept Job Offer.
Frequently asked questions
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The Olympics of work
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Premium pay for premium talent
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