• 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!

Role Description Join our team as a Senior QA Automation Engineer, where your primary focus will be designing, developing, and maintaining robust automated testing solutions across our API and UI layers for an industry-leading SaaS application. In addition to core automation responsibilities, you will contribute to load and performance testing initiatives to help validate system scalability and reliability. As a senior member of the team, you will mentor and guide others, promote best practices in automation and testing strategy, and help drive quality across a distributed engineering organization. What You'll Do - Design, develop, and maintain scalable automated test suites for API and UI layers - Collaborate with QA and development teams to define and implement a testing strategy - 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 Qualifications - 8+ years of experience in an Agile, highly collaborative, team-based environment - 5+ years of experience developing API and UI test automation solutions - Hands-on experience with test automation frameworks (e.g., Selenium, Cucumber, Playwright, etc.) - Experience contributing to load/performance testing efforts (e.g., JMeter, k6, Gatling) - Strong understanding of object-oriented programming and design patterns - Proficiency in languages such as C#, Java, or JavaScript - Strong understanding of web and browser technologies - BS and/or MS in a technical discipline (Computer Science or Software Engineering preferred) Requirements - 5+ years of experience in mobile application testing, including manual and automated testing - Strong understanding of mobile application technologies, including iOS and Android operating systems - Proficiency with Selenium-based mobile testing automation frameworks such as Selendroid and Appium Benefits - Competitive salary - $95,000-$125,000 - Employer sponsored health, dental, vision, life, and disability insurance - Retirement plan with company contribution - Annual company profit sharing - Personal development/training budget - Open, collaborative work environment - Extensive 2-week onboarding plan - Comprehensive mentorship program Equal Opportunity Employer Statement & Applicant Rights TherapyNotes LLC is an Equal Opportunity Employer and does not discriminate based on race, color, religion, sex, national origin, age, disability, genetic information, or any other protected status under federal, state, or local law. We are committed to providing a workplace free of discrimination and harassment. For more information about your rights under federal employment laws, please review the following: - Know Your Rights: Workplace Discrimination is Illegal - Family and Medical Leave Act (FMLA): Employee Rights Under FMLA If you require a reasonable accommodation during the application process, please contact humanresources@therapynotes.com .

Role Description Are you an experienced quality assurance professional with a passion for language quality, AI, and team leadership? We are looking for a Japanese-speaking Quality Control Lead to join a large-scale AI training program. In this role, you will lead the quality strategy for the Japanese 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 Japanese locale. - Review reviewer feedback, audit quality, and ensure alignment with project guidelines. - Act as the primary quality point of contact for the Japanese 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 Japanese. - 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 Japanese language data. - Join our team and help shape the future of AI communication!