Kotlin Quality Assurance Lead

The work

You will lead quality reviews for Kotlin-focused AI training projects. The work centers on checking AI-generated Kotlin code and contributor quality assurance submissions, then giving clear written feedback that helps improve accuracy and consistency.

You will also answer contributor questions, explain Kotlin standards, share guideline updates, and help improve the project’s documentation and quality processes.

• Review Kotlin code, Android and JVM snippets, coroutine workflows, tests, and explanations.
• Evaluate correctness, type safety, debugging accuracy, readability, maintainability, performance, security, test coverage, formatting, instruction following, and rubric adherence.
• Flag insecure, misleading, non-executable, or non-production-ready recommendations.
• Provide detailed written feedback and ongoing quality guidance to contributors.
• Help maintain style guides, trackers, FAQs, honeypots, onboarding materials, and contributor documentation.
• Support activation tracking and onboarding calls.
• Identify recurring quality gaps and help improve quality assurance processes.

What it pays and takes

This is an intermediate-level, part-time contractor role for candidates in the United States. You should be comfortable reviewing Kotlin in detail and giving technical feedback in English.

• $65 per hour.
• 20+ hours per week.
• Open to candidates in the United States.
• Professional fluency in English.
• Strong Kotlin experience with syntax, null safety, data classes, sealed classes, generics, extension functions, collections, lambdas, coroutines, flows, exception handling, and Java interoperability.
• Ability to assess code correctness, readability, maintainability, and rubric adherence.
• Familiarity with Android development or JVM backend development.
• Experience with code review, quality assurance, AI training, large language model evaluation, or mentoring is strongly preferred.
• Helpful experience includes Android, Jetpack Compose, Gradle, Ktor, Spring Boot, JUnit, MockK, Espresso, GitHub, continuous integration and delivery, and application architecture patterns.
• Experience leading or supporting remote teams of trainers, engineers, reviewers, or quality assurance professionals is helpful.
• Comfort using Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.

How it works

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

About AI training work

AI training work is the human side of building artificial intelligence. Reviewers assess examples such as code and model responses so AI systems can produce more accurate, useful, and reliable results.