Kotlin Quality Assurance Lead (QAL)

In this hourly, remote contractor role, you will work as a Kotlin Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across Kotlin AI training projects. You will review AI-generated Kotlin code and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure contributors follow expected standards.

You will assess work for code correctness, type safety, coroutine behavior, Android/JVM awareness, debugging accuracy, readability, maintainability, performance, security, test coverage, formatting, instruction-following, and rubric adherence.

This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, 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.

Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter.

Important:
There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.

### Key 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.

### Your Profile
- 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.