Lead and scale a high-performing SDET team, driving test automation strategy, quality processes, and engineering excellence.
Champion shift-left testing and integrate automated tests into CI/CD pipelines across web, mobile, and API layers.
Strengthen automation frameworks with TypeScript/Playwright and boost test productivity through GenAI tools.
HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. With over 2,000 team members across 10+ countries, HighLevel operates as a global, remote-first organization built for speed and ownership.
Execute manual frontend QA tests for a web onboarding workflow following documented runbooks.
Validate form behavior, cross-browser UI, and client-side validation rules while documenting defects.
Produce structured evidence and collaborate with QA leads to refine test processes.
Welo Data, part of Welocalize, is a global AI data company providing high-quality, ethical data to train advanced AI systems. With over 500,000 contributors in 100+ countries, it fosters a flexible, supportive, and growth-oriented community.
Provide end-to-end technical governance across frontend, middleware, and backend testing layers for a multi-layered onboarding platform.
Own architecture of API contract testing and data modeling for complex entity relationships, ensuring quality assumptions are verified at every downstream layer.
Act as escalation point for cross-layer technical discrepancies, compile evidence dossiers, and prepare technical handoff packages for client stakeholders.
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train advanced AI systems. They offer flexible, growth-oriented opportunities with a diverse global community in 100+ countries.
Design and execute advanced exploratory testing to uncover issues not captured by scripted test cases, especially around form validation and submission behavior.
Apply boundary testing and equivalence partitioning to identify edge-case failures across frontend input handling and middleware calls, and validate state transitions against FSM models.
Lead defect triage sessions, partner with developers to clarify root causes, and mentor junior QA testers on structured test design.
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. They build smarter, more human AI with a diverse community in 100+ countries and emphasize flexibility and growth for their global contributors.
Analyze distributed system APIs to validate correctness, consistency, and failure handling across services.
Execute pre-approved request variations and boundary-validation scenarios against staging endpoints.
Capture complete request/response evidence and document system behavior under unexpected inputs.
Welo Data is a global AI data company, part of Welocalize, delivering high-quality data to train AI systems. It has a diverse community of 500,000+ contributors across 100+ countries, offering flexible and limitless work opportunities.
Design and maintain automated API test suites for gRPC-Web, Proto3, HTTP/2, and JSON-RPC/REST services.
Inspect and reconstruct network traffic using proxy tools and export sanitized HAR evidence for backend validation.
Develop Python, Postman, and cURL scripts for API functional and regression testing.
Welo Data, part of Welocalize, is a global AI data company that provides high-quality, ethical data to train advanced AI systems. It operates with a diverse community of 500,000+ contributors across 100+ countries, emphasizing flexibility, growth, and support.
Build and maintain automated test suites for microservices, APIs, UIs, and AI/ML features using Python and modern browser automation.
Establish quality gates in CI/CD pipelines, including parallelized test execution and automated promotion criteria.
Develop evaluation frameworks for AI/ML systems and validate graph databases, data pipelines, and agentic workflows.
They build a cloud-based decision intelligence platform using AI/ML, graph analytics, and agentic systems. The company is technically ambitious and remote-friendly, focusing on continuous improvement and modern engineering practices.