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Manual QA Engineer (AI)

40 - 60$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Manual QA Engineer (AI): Testing web applications and AI-driven workflows through manual regression, exploratory, functional, and acceptance testing with an accent on release quality, complex teacher and student workflows, and non-deterministic AI outputs. Focus on identifying edge cases, reproducing defects, validating fixes, and assessing usability and reliability before and after releases.

Location: New York, United States; hybrid

Hourly rate: $40–$60 per hour. If converted to full-time, the US salary range is $90,000–$120,000 depending on experience and skills.

Company

hirify.global is a rapidly growing startup building personalized teaching and learning experiences with transformative AI technologies.

What you will do

  • Perform manual testing of web applications and AI-driven workflows.
  • Execute regression, exploratory, functional, sanity, and acceptance testing before releases.
  • Validate complex teacher and student workflows, including AI-generated outputs and interactive experiences.
  • Write reproducible bug reports with steps, logs, and impact assessments, then collaborate with engineers to verify fixes.
  • Identify edge cases, usability issues, quality risks, and release-readiness concerns.
  • Contribute to QA documentation, testing checklists, release validation, and post-release verification.

Requirements

  • 2+ years of experience in manual software testing or quality assurance.
  • Experience with QA processes and UI/UX testing for web and mobile products.
  • Strong experience with manual regression, exploratory, and functional testing.
  • Ability to write clear, actionable bug reports and debug issues with engineers.
  • Strong attention to detail, product intuition, communication, and cross-functional collaboration.
  • Comfort working in a fast-moving startup environment and understanding product behavior and edge cases.

Nice to have

  • Experience testing AI- or LLM-powered products.
  • Experience with workflows involving APIs, backend systems, or data pipelines.
  • Familiarity with browser developer tools, logs, and network inspection.
  • Experience testing distributed systems or modern web stacks.

Culture & Benefits

  • Team lunches and a dog-friendly office.
  • Medical, dental, vision, and life insurance.
  • Medical insurance with 100% coverage of employee premiums.
  • Daily DoorDash credit for lunch.
  • Full-time conversion may include base compensation and equity.

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