QA Analyst (Data & Compliance)

QA Analyst (Data & Compliance)Location: Remote, SingaporeClassification: Full-timeRole OverviewIn this role, you won’t just “test software” - you’ll safeguard the trustworthiness of our data pipelines, analytics, and ML models that power multi-million-dollar business decisions and compliance workflows. You’ll work closely with data engineers, data scientists, and product teams to build rigorous QA frameworks that validate everything from ETL pipelines to automated UI flows.You’ll have autonomy, high visibility, and the chance to influence product quality across the organization.Key ResponsibilitiesOwn end-to-end QA for data-driven features, from raw ingestion through analytics layers and UI presentation.Develop and execute comprehensive test plans for high-volume, high-velocity datasets — ensuring accuracy, and completeness.Partner with engineering & data science teams to validate ETL logic, transformation rules, and ML training datasets.Build automated data validation scripts using SQL/BigQuery queries and integrate them into CI/CD pipelines.Implement and maintain automated UI testing using tools like Selenium, Appium, Playwright, or similar.Proactively identify data integrity issues and prevent them from reaching productionEstablish QA best practices for data-centric applications and mentor other QA team members.Champion data quality metrics as a core part of product health.Skills And Qualifications3+ years in QA, with a strong focus on data testing and UI automation (ad tech or analytics product experience is a plus).Proficiency in SQL or BigQuery Standard SQL for data validation and back-end testingExperience validating large-scale datasets, ETL pipelines, or BI dashboards.Familiarity with ML model workflows and techniques for QA’ing training data.Strong understanding of QA methodologies and automation frameworks.Sharp analytical mindset with obsessive attention to detail.Excellent communication skills — able to explain complex data issues to non-technical stakeholders.Why You'll Love Working with PixalateAt Pixalate, we offer a competitive salary, outstanding benefits, and a dynamic work environment. You will have the opportunity to work on pioneering technologies alongside some of the brightest minds in the industry. If you're passionate about maintaining high software quality and thrive in a fast-paced, challenging environment, you'll fit right in.BenefitsWe focus on doing things differently and challenge each other to be the best we can be.Monthly internet reimbursementCasual, remote work environmentHybrid, flexible hoursOpportunity for advancementFun annual team eventsBeing part of a high-performing team that wants to win and have fun doing itExtremely competitive compensationWe're particularly interested in candidates who can demonstrate both theoretical depth and practical implementation skills. Show us how your research can transform the landscape of online trust and safety.Pixalate is an online trust and safety platform that protects businesses, consumers and children from deceptive, fraudulent and non-compliant mobile, CTV apps and websites. We're seeking a PhD-level AI Engineer to lead cutting-edge research in agentic AI systems, multimodal analysis, and advanced reasoning architectures that will directly impact millions of users worldwide.Our software and data have been used to unearth multiple high profile criminal and illegal surveillance cases including:Gizmodo: An iCloud Feature Is Enabling a $65 Million Scam, New Research SaysAdweek: A 7-Figure Ad Fraud Scheme Running on Roku Underlines Murkiness of CTVWashington Post: Your kids’ apps are spying on themPro Publica: Porn, Piracy, Fraud: What Lurks Inside Google’s Black Box Ad EmpireABC7 News: The State of Children's Privacy OnlineNBC News: How many apps are tracking your childrenOur team of lawyers, data scientists, engineers, economists and researchers span globally with presence in California, New York, Washington DC, London and Singapore.Pixalate is an equal opportunity employer committed to building a diverse team. We particularly encourage applications from underrepresented groups in AI research.