About Welo Data
Welo Data, a Welo Global brand, is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. They deliver the human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment. Its global network of 500,000+ vetted experts spans 300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domain expertise enables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, and modalities. Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietary identity and fraud-prevention framework. Built to maintain data integrity and workforce trust across a global contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset is accurate, traceable, and culturally grounded. welodata.ai
Software QA Engineer will be responsible for designing, implementing, and executing both automated and performance test suites. They will be working on large applications to ensure performance, scale effectively and function accurately. This role combines responsibilities for both load and performance testing with test automation and continuous integration.
Key Responsibilities:
Design, implement, and execute both automated and performance test suites for large applications to ensure they perform efficiently, scale effectively, and function accurately.
Develop, script, and execute load, stress, and scalability tests using tools such as JMeter and K6.
Create and maintain automated test scripts for functional and regression testing using tools like Selenium and Playwright.
Continuously monitor and evaluate new features and functionalities to ensure the automation processes are effective and up to date.
Maintain and update automation scripts as needed.
Design automation frameworks and integrate performance tests into automated tests.
Collaborate with team members, developers, DevOps, and IT to ensure seamless integration of testing and automation processes and to measure stability and performance.
Document test cases, test scripts, processes, and results, highlighting metrics such as response time, throughput, and error rates.
Provide training and guidance to other team members.
Estimate, prioritize, plan, and coordinate performance tests.
Identify gaps in performance and stability, and work on resolutions.
Required Skills & Expertise:
Post-secondary degree in Computer Science or equivalent work experience.
3+ years of experience in software quality assurance, including hands-on experience in automation and performance testing.
Proficient in performance testing tools like JMeter and K6.
Excellent scripting and coding skills in languages like Java and JavaScript.
Previous experience working with functional testing tools like Playwright and Selenium.
Skilled in frameworks such as PRISM and Webdriver IO.
Proficient in using API tools like POSTMAN.
Strong knowledge of SQL.
Familiarity with TestNG, Mocha, Chai, Wdio, POM, Node.js, and Babel.
Why Join Us:
Work in a dynamic and collaborative environment with opportunities to work on cutting-edge technologies and high-impact projects.
Take ownership of end-to-end testing strategies and contribute to the overall product quality.
Be part of a team that values innovation, continuous improvement, and knowledge sharing.