Top Remote QA Jobs

Perform manual exploratory testing and build/maintain automated test suites (Playwright/Selenium). Integrate tests into CI/CD, collaborate with product and engineering on acceptance criteria, investigate and track defects, and advocate shift-left testing and continuous quality improvements.

Develop and execute manual and automated tests, define test strategies and cases, build regression automation frameworks, track defects, and advocate for software quality. Collaborate with engineering and distributed cross-functional teams to deliver reliable mobile and digital products in a fast-moving startup environment.

Leads end-to-end quality assurance for Workday implementations, upgrades, and enhancements. Defines testing strategies, plans, frameworks, and risk mitigation; oversees functional, integration, regression, and UAT testing across Workday modules. Manages defects, test data, environments, release validation, reporting, and stakeholder sign-off. Coordinates QA activities among business teams, developers, system integrators, vendors, and delivery partners while ensuring adherence to quality standards and governance.

Test mobile features across iOS and Android, perform regression testing, and build automated synthetic tests for voice calls and SMS. Develop test plans for new and cross-team initiatives, track bugs and quality trends, and provide data-driven recommendations. Collaborate closely with engineering, product, and design teams to maintain quality while increasing release velocity.

Performs manual and automated testing across Agile, DevSecOps, cloud migration, integration, release, security, database migration, and performance testing activities. Develops test plans, cases, scripts, automation, and metrics; validates applications, APIs, data flows, and legacy-to-cloud transitions; supports GitLab pipeline quality gates, vulnerability assessments, RMF/ATO evidence, and federal security compliance requirements.

Leads software quality assurance for Positive Train Control systems by improving development processes, governing release readiness, managing audits, tracking quality metrics, and reducing defects and escapes. Supports engineering teams with process optimization, compliance, failure analysis, corrective and preventive actions, and continuous improvement. Serves as a release gatekeeper and ensures documented standards, procedures, and design rigor are followed.

Plan, execute and automate functional, regression and integration tests for mobile (iOS/Android) and backend services. Create and maintain test plans, cases and data; log and track defects; support UAT, performance and stability checks; collaborate with developers, DevOps and architects; integrate automated tests into CI pipelines and validate release readiness across environments and physical devices.

Evaluates AI-generated technical outputs against rubrics, designs functional and regression test cases, identifies and documents defects, reviews bug reports, and provides actionable feedback. The role combines manual and automated software testing with paid human-in-the-loop AI evaluation, annotation, RLHF, or rubric-based grading. Engineers collaborate with project teams to improve evaluation guidelines, testing standards, and model quality.

Designs and executes manual and automated testing for web applications, APIs, and integrated systems. Creates test plans, performs functional, regression, integration, and exploratory testing, documents defects, validates fixes, and investigates failures using logs and diagnostics. Collaborates with engineering, product, and support teams on requirements, acceptance criteria, release validation, customer issues, test automation, quality documentation, and continuous improvement.

Develop and maintain UI and API test automation for customer-facing claims software. Partner with Product and Engineering to define acceptance criteria, analyze risks, expand testing frameworks, monitor automated test runs, troubleshoot flaky tests, build test utilities and data generators, and integrate automated testing into CI/CD pipelines. The role supports either Dispatch or Communications and Documentation product teams while contributing shared quality tooling and infrastructure.

Design, develop, and maintain automated testing frameworks for web applications, APIs, and distributed systems. Integrate automated tests into CI/CD pipelines, expand coverage, support risk-based and exploratory testing, validate data with SQL, and collaborate with Agile development teams to improve software quality and delivery confidence.

Conduct manual and automated software testing, create and maintain test plans and cases, identify and report defects, review requirements and design documentation, and support release management. Collaborate with product and engineering teams to ensure software quality and compliance with standards. The role also involves test automation, stakeholder quality reporting, and adopting tools and practices that improve QA efficiency.

Design, develop, and execute automated tests, perform API and performance testing, identify and document defects, collaborate with cross-functional teams to ensure product quality and resolve issues.

Conduct hands-on manual testing, reproduce customer-reported bugs, assess feature quality, coordinate testing for major launches, and write Playwright end-to-end tests. Collaborate closely with engineers and stakeholders, determine appropriate test coverage, expand automation, and develop strong product judgment while learning Ashby’s product and technical architecture.

Develop and maintain automated tests for web applications, APIs, integrations, SaaS platforms, and AI-powered features. Build customer journey tests, enhance automation frameworks, integrate testing into CI/CD pipelines, troubleshoot failures, and collaborate with engineering teams to improve quality and release confidence. The role also contributes to AI-assisted testing initiatives and evaluates emerging AI testing technologies.

Leads quality assurance for a large-scale Medicaid implementation, managing SIT, UAT, and E2E testing across MMIS, MES, COTS applications, and data integrations. Develops test strategies, scenarios, cases, and data; oversees execution, defect triage, metrics, traceability, and resolution. Coordinates business teams, state agencies, vendors, developers, and PMO stakeholders while ensuring data integrity, documentation, risk management, and compliance with Medicaid requirements.

Design, develop, and execute manual and automated tests for front-end, back-end, APIs, and large-scale services. Build and maintain automated test suites and frameworks (Java, JUnit, Selenium, TestNG), analyze logs, report results, and collaborate with stakeholders; ensure test coverage across devices and drive test strategy and sign-off.

Own quality assurance for DroneDeploy’s Aerial Capture products, including drone hardware integrations, mobile applications, and real-world flight workflows. Responsibilities include daily flight testing, test-plan development, regression management across Dock, Android, and iOS, QA program coordination, defect reporting, AI-assisted automation, quality metrics analysis, and device, firmware, and test-environment management. The role requires occasional customer-site travel for flight validation.

Work as an embedded QA automation engineer to design, build, and maintain end-to-end and API test suites, integrate tests into CI/CD, run performance/load tests against a NestJS monolith, manage test data, and validate AI agent behavior and integrations across OMS/WMS/catalog workflows.

Tests Salesforce applications through functional, integration, system, regression, and automated testing. Develops test plans, cases, scripts, data, and environments; tracks defects; collaborates with developers, administrators, and stakeholders; supports release readiness; improves QA processes; and evaluates Salesforce releases, performance, usability, and quality.

Leads a team of manual and automation QA engineers, overseeing test planning, execution, defect tracking, QA standards, release coverage, and automation framework expansion. The role partners with product, development, data, and executive teams to improve quality practices, support compliance, and strengthen testing across software platforms in an Agile environment.

Lead the design and implementation of test automation frameworks, AI-augmented QA practices, and UI visual regression testing. Drive DORA metrics measurement and improvement, partner with engineering/product teams, troubleshoot customer issues, and mentor the QA practice. Own automation architecture, CI/CD integration, and test strategy for small to mid-sized product areas.

Lead and scale the quality assurance strategy for a remote health technology company. Manage and mentor QA engineers across Scrum teams, oversee automated and manual testing, integrate test frameworks with CI/CD pipelines, establish quality metrics, improve test coverage and environments, and ensure compliance with regulated-industry standards. Partner with engineering, product, and executive leadership to drive quality practices across the software development lifecycle.

Leads business requirements analysis and quality assurance for products in an Agile/Scrum environment. Responsibilities include documenting requirements, creating user stories and acceptance criteria, developing test strategies and cases, leading manual and automated testing, managing defects, monitoring quality metrics, maintaining JIRA workflows, integrating automation into CI/CD pipelines, and serving as the release quality gatekeeper. The role also mentors team members and collaborates with product owners, developers, and stakeholders.

Manually test Nutrafol’s ecommerce website and mobile experiences across devices, browsers, and viewports. Identify, document, and track functional, visual, copy, usability, and regression defects in Jira while collaborating with QA leads, product managers, developers, and designers. The role requires timely execution in an Agile environment, strong communication and attention to detail, and recent experience using AI tools to improve test scripting, troubleshooting, analysis, and testing efficiency.