обновлено 19 часов назад
Manual QA Engineer (AI)
40 - 60$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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