Negotiable
Undetermined
Remote
EMEA
Summary: Join a dynamic team as a Quality Assurance Specialist, focusing on bridging quality assurance and customer support for AI-driven platforms. This remote role requires a detail-oriented engineer proficient in TypeScript, responsible for ensuring product stability and enhancing customer satisfaction. The position involves both technical development and operational workflows, making a direct impact on user experience. Ideal candidates will thrive in a fast-paced environment while providing effective product support.
Key Responsibilities:
- Provide timely and effective product support by triaging and resolving technical issues.
- Design, execute, and document QA test cases to maintain high release standards.
- Monitor and analyze user feedback across online communities and social platforms, translating insights into actionable improvements.
- Support operational workflows to ensure smooth and reliable product delivery.
- Contribute to internal technical projects, independently building features and tools using TypeScript.
- Collaborate with engineering, product, and support teams to diagnose bugs and enhance product functionality.
- Stay informed on emerging trends in AI video generation and incorporate feedback into QA processes.
Key Skills:
- Advanced proficiency in TypeScript with demonstrated ability to code independently (mandatory).
- Portfolio of self-built projects (required for consideration).
- Bachelor’s degree in Software Engineering or equivalent practical experience.
- Experience testing, supporting, or developing AI video generation technologies.
- Strong analytical and troubleshooting skills.
- Excellent written and verbal communication abilities.
- Comfortable balancing customer support, QA testing, and technical development tasks.
- Ability to adapt quickly within a fast-moving remote environment.
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Title: Quality Assurance Specialist (Remote)
Engagement: Hourly contract (independent contractor)
Location: Remote
Compensation: $30 – $42 per hour
Job Summary
Join our customer’s team as a QA Engineer & Product Support Expert, where you will bridge quality assurance and customer support to ensure high-performing AI-driven platforms. In this role, you will work across technical development and operational workflows, directly impacting product stability, usability, and overall customer satisfaction. This is an excellent opportunity for a detail-oriented engineer who enjoys coding in TypeScript while actively supporting users in a dynamic, fast-paced environment.
Key Responsibilities
- Provide timely and effective product support by triaging and resolving technical issues.
- Design, execute, and document QA test cases to maintain high release standards.
- Monitor and analyze user feedback across online communities and social platforms, translating insights into actionable improvements.
- Support operational workflows to ensure smooth and reliable product delivery.
- Contribute to internal technical projects, independently building features and tools using TypeScript.
- Collaborate with engineering, product, and support teams to diagnose bugs and enhance product functionality.
- Stay informed on emerging trends in AI video generation and incorporate feedback into QA processes.
Required Skills and Qualifications
- Advanced proficiency in TypeScript with demonstrated ability to code independently (mandatory).
- Portfolio of self-built projects (required for consideration).
- Bachelor’s degree in Software Engineering or equivalent practical experience.
- Experience testing, supporting, or developing AI video generation technologies.
- Strong analytical and troubleshooting skills.
- Excellent written and verbal communication abilities.
- Comfortable balancing customer support, QA testing, and technical development tasks.
- Ability to adapt quickly within a fast-moving remote environment.
Preferred Qualifications
- Experience engaging with user communities or public-facing forums.
- Knowledge of best practices in AI platform quality assurance and technical support.
- Familiarity with agile development methodologies and issue tracking tools.
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