Kotlin Team Lead, Quality Assurance

You will lead quality review for Kotlin-focused AI training work. This includes checking AI-generated Kotlin code and trainer QA submissions, then giving clear written feedback that helps contributors produce accurate, executable, maintainable work.

The duties and qualifications combine Kotlin team-lead and quality-assurance work, so review them carefully before applying.

• Review Kotlin code, Android and JVM snippets, coroutine workflows, tests, and technical explanations.
• Evaluate correctness, type safety, coroutine behavior, debugging accuracy, readability, maintainability, performance, security, test coverage, formatting, instruction following, and rubric adherence.
• Flag insecure, misleading, non-executable, or non-production-ready recommendations.
• Answer contributor questions, share Kotlin standards and guideline updates, and provide ongoing quality guidance.
• Help improve QA processes by identifying recurring quality gaps.
• Support activation tracking, onboarding calls, contributor documentation, style guides, trackers, FAQs, and honeypots.

• Pay: $65 per hour.
• Time: 20+ hours per week.
• Location: Open to candidates in the United States.
• Work type: Part-time contractor role.
• Experience level: Intermediate.
• Language: Professional fluency in English.
• Kotlin: Strong experience with syntax, null safety, data classes, sealed classes, generics, extension functions, collections, lambdas, coroutines, flows, exception handling, and Java interoperability.
• Code quality: Ability to assess correctness, readability, maintainability, and rubric adherence.
• Development background: Familiarity with Android development or JVM backend development.
• Preferred experience: Code review, quality assurance, AI training, large language model evaluation, or mentoring.
• Helpful tools and background: Android, Jetpack Compose, Gradle, Ktor, Spring Boot, JUnit, MockK, Espresso, GitHub, continuous integration and delivery, and application architecture patterns.
• Team support: Experience leading or supporting remote teams of trainers, engineers, reviewers, or quality specialists.
• Communication: Clear written English and comfort providing technical feedback. Familiarity with Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training is the human work behind systems that generate and understand content, including reviewing code and rating model responses. OpenTrain helps people find and build careers in this field, where experienced contributors use their technical knowledge to improve how AI systems work.