Kotlin QA Lead - Remote

About the role

This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your Kotlin quality leadership will help ensure Kotlin training data is accurate, executable, idiomatic, clearly explained, and aligned with client expectations.

Responsibilities

• Spot-check Kotlin items and provide ongoing feedback through DMs.
• Review AI-generated Kotlin code, Android/JVM snippets, coroutine workflows, tests, and explanations.
• Communicate guideline changes and Kotlin-specific standards on Discord.
• Answer questions around Kotlin syntax, null safety, coroutines, Android/JVM context, tests, packages, and rubric interpretation.
• DM inactive contributors and manage activation tracking.
• Create Kotlin documentation, style guides, examples, trackers, FAQs, honeypots, and onboarding materials.
• Run onboarding/training calls for Kotlin contributors.
• Flag insecure, misleading, non-executable, or non-production-ready Kotlin recommendations.
• Improve QA processes based on recurring quality gaps.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, IT, or equivalent professional experience.
• Strong grasp of English to follow guidelines and provide clear technical feedback.
• 3+ years of professional experience in Kotlin, Android development, JVM backend development, code review, QA, or technical mentoring.
• Strong understanding of Kotlin syntax, null safety, data classes, sealed classes, generics, extension functions, collections, lambdas, coroutines, flows, exception handling, and interoperability with Java.
• Ability to identify issues such as incorrect coroutine usage, non-idiomatic Kotlin, unsafe null handling, flawed logic, non-executable code, hallucinated APIs, or incomplete explanations.
• Familiarity with Android, Jetpack Compose, Gradle, Ktor, Spring Boot, JUnit, MockK, Espresso, Kotlin Flow, GitHub, CI/CD, and app architecture patterns is preferred.
• Experience leading or supporting remote teams of trainers, engineers, reviewers, or QAs is strongly preferred.
• Comfortable with Discord, Google Sheets, Google Docs, trackers, dashboards, GitHub, and PM systems.
• Highly organized and able to maintain style guides, trackers, FAQs, honeypots, calibration tasks, and onboarding materials.
• Experience with AI training, LLM evaluation, code QA, or rubric-based code review is a strong plus.