• Design, develop, and maintain scalable automated test suites for API and UI layers • Collaborate with QA and development teams to define and implement a • Ensure automated tests are integrated into the CI/CD pipeline to improve efficiency and accelerate delivery • Contribute to load, stress, and endurance testing efforts to validate system performance and scalability • Assist in identifying performance bottlenecks and partner with engineering teams on remediation efforts • Analyze test failures, perform root cause analysis, and create actionable defect reports • Validate software to ensure it meets requirements and maintains high quality standards • Perform manual testing where automation is not appropriate • Promote consistency in testing practices across a distributed set of development teams • Recommend improvements to automation, testing processes, and overall quality practices • Mentor team members on automation development, automation design patterns, testing strategies, and best practices • Provide technical leadership in building maintainable, scalable, and reusable test frameworks

• Enhance the team’s capacity to deliver assigned stories by end of sprint • Cultivate Camaraderie: Ensure that Core Values are living and breathing throughout the project team and that these values are reflected within the QA assurance team and department. • Increase Velocity: Perform automated testing and API testing for complex applications and scenarios; locate and document edge cases by understanding the depth and intricacies of a project; assess possible risks and propose modifications to the acceptance criteria. • Expand Frameworks: Demonstrate proficiency at automation, API testing, or accessibility testing principles and solutions. • Enhance the team's capacity by documenting plans to anticipated risks/blockers, advancing best practices, and mentoring peers and more junior team members. • Serve as a technical SME in the sprint, ensuring successful delivery of the sprint commitment by prioritizing testing efforts, enhancing acceptance criteria, etc. • Conduct recruiting interviews and analyze candidates to ensure successful hiring/contracting. • Present robust testing plans, metrics, and other valuable insight and direction during sprint review meetings; propose solutions and improvements to clients that improve our ability to deliver value.

• Designing test plans, scenarios, scripts, and procedures. • Executing tests on source code. • Analyzing test results and documenting clear and concise steps to reproduce errors in reports for the development team. • Work closely with product and development teams to ensure features and content are fully executed. • Working with the development team to correct bugs and errors. • Learn our application(s) inside and out and become subject matter experts. • Mentor and coach more Jr QA personnel.

Role Description Are you an experienced quality assurance professional with a passion for language quality, AI, and team leadership? We are looking for a Portuguese (Brazil)-speaking Quality Control Lead to join a large-scale AI training program. In this role, you will lead the quality strategy for the Portuguese (Brazil) locale, ensuring consistent guideline application, coaching Quality Control Reviewers, and maintaining high-quality standards across a variety of AI training tasks. This is an exciting opportunity to combine your expertise in language quality, AI data annotation, and people leadership while helping improve the next generation of AI systems. - Lead and support a team of approximately 10 Quality Control Reviewers, ensuring consistent quality standards across the Portuguese (Brazil) locale. - Review reviewer feedback, audit quality, and ensure alignment with project guidelines. - Act as the primary quality point of contact for the Portuguese (Brazil) locale, resolving quality questions and escalating complex issues when necessary. - Conduct calibration sessions and provide structured coaching to improve reviewer performance. - Monitor quality trends, identify risks, and proactively address performance gaps. - Support the onboarding and development of new Quality Control Reviewers. - Collaborate with global Quality Teams to improve processes, documentation, and quality consistency across AI training tasks. Qualifications - Native-level proficiency (CEFR C2 or equivalent) in Portuguese (Brazil). - Professional written and spoken English. - Minimum 2 years of experience in AI training, data annotation, linguistic quality, localization QA, or a related quality assurance role. - At least 1 year of experience leading or supervising reviewers, annotators, or quality teams. - Strong understanding of linguistic quality, including grammar, fluency, tone, register, and cultural nuances. - Experience providing structured, evidence-based feedback and coaching others to improve quality. - Excellent analytical skills with the ability to evaluate complex tasks where there may not be a single correct answer. - Strong organizational skills and the ability to manage multiple priorities in a fast-paced remote environment. Requirements - Degree in Linguistics, Computer Science, Engineering, or another analytical field (nice to have). - Experience with Large Language Models (LLMs), RLHF, AI data annotation, prompt evaluation, or NLP projects (nice to have). - Familiarity with annotation platforms and quality management processes for AI datasets (nice to have). Benefits - This is a unique opportunity to take a leadership role in a cutting-edge AI program while helping ensure the highest quality standards for Portuguese (Brazil) language data. - Join our team and help shape the future of AI communication!