About the role

About SuperAnnotate

SuperAnnotate is a fast-growing, Series B startup revolutionizing the field of AI-data Infrastructure. We specialize in providing cutting-edge data pipeline solutions for Machine Learning, LLM, and GenAI solutions to large enterprise clients, helping them leverage the power of AI to transform their businesses. SuperAnnotate has a fully customizable platform for building annotation tools and workflows that AI projects demand—while unifying the management of all teams, vendors, and data in one place. We’re very proud to have products that are loved by our customers, resulting in us being listed as the highest-ranked platform on G2.

Role

Our team is seeking a Mid-level Test Engineer to help ensure the success of our API and Enterprise applications and services by automating the testing process using modern testing methodologies and tools. The ideal candidate will advocate for QA best practices while delivering top-notch products that offer an exceptional user experience.

Your Day

Create detailed, comprehensive, and well-structured test plans and test cases.
Perform manual testing to identify and report bugs, ensuring that the application meets requirements and acceptance criteria.
Design, develop, and maintain automated test scripts using Python, Selenium, and pytest.
Implement and manage the Page Object Model (POM) for scalable and maintainable test automation.
Develop API automation tests to ensure the robustness and reliability of backend services.
Conduct exploratory testing to uncover potential issues that automated tests might miss.
Collaborate with product owners, developers, and other stakeholders to understand requirements and acceptance criteria.
Work with DevOps to enhance continuous integration processes.
Execute automated tests, analyze results, and report defects with clear and concise descriptions.
Monitor test results and provide feedback to the development team for immediate resolution.
Maintain up-to-date documentation of test cases, test scripts, and test results.

What is needed to get started

3+ years of experience as a QA Engineer
Experience with Python, Selenium, and API testing
Experience with AI tools is a plus
Good understanding of POM
Strong knowledge of software QA methodologies, tools and processes
Understanding of agile processes from a quality perspective
Good communication skills in English and Armenian

Skills & Tags

python go machine learning ai backend devops data product

Aplyr's read

SuperAnnotate AI is a data annotation platform enhancing AI project efficiency, attracting tech-savvy professionals passionate about machine learning innovation.
Synthesized from recent postings & public sources

What's promising

•SuperAnnotate's platform significantly boosts AI and machine learning efficiency.
•Recent hires indicate a focus on strategic growth and community engagement.
•The company is expanding roles in engineering and marketing, suggesting robust growth.

What to watch

•The niche focus on data annotation may limit broader career opportunities.
•Competition in AI data annotation is intense, posing market challenges.
•Limited public information about company culture and employee satisfaction.

Why SuperAnnotate AI

•SuperAnnotate offers a specialized platform dedicated to improving AI project workflows.
•The company integrates advanced tools for efficient data management in AI.
•SuperAnnotate's focus on strategic roles highlights its commitment to market leadership.

Aplyr’s read is generated by AI from public sources. Was it useful?