SME Careers
SME CareersVerified listing
Remote

Kotlin Team Lead for Android and JVM QA and Training

Up to 65/hr
Remote
Posted August 31, 2026
contract

Overview

A remote, hourly contract lead role focusing on Kotlin quality assurance and trainer performance across AI training projects. You’ll assess AI-generated Kotlin code, Android and JVM snippets, and coroutine workflows, ensuring alignment with project guidelines. Lead communications on Kotlin standards in Discord and guide contributors through onboarding materials and style guides. Expect to shape QA processes and provide precise feedback to keep outputs idiomatic, safe, and production-ready. Experience leading remote teams of trainers, engineers, and QAs is a plus.

What You'll Do11

  • 1Spot-check Kotlin items and deliver ongoing feedback via direct messages
  • 2Review AI-generated Kotlin code and Android/JVM snippets for correctness and readability
  • 3Provide clear guidance on Kotlin standards and project guidelines in Discord
  • 4Answer questions on Kotlin syntax, null safety, coroutines, Android/JVM context, tests, and rubric interpretation
  • 5DM inactive contributors to re-engage them and track activation
  • 6Create Kotlin documentation, style guides, examples, trackers, FAQs, and onboarding materials
  • 7Lead onboarding sessions for Kotlin contributors and trainers
  • 8Flag insecure or non-production-ready Kotlin recommendations and non-idiomatic code
  • 9Improve QA processes by addressing recurring quality gaps
  • 10Monitor and improve trainer performance and rubric alignment
  • 11Prepare reports on code quality, test coverage, and deliverable consistency

Requirements10

  • 1Bachelor’s or Master’s degree in computer science, software engineering, IT, or equivalent professional experience
  • 23+ years of professional Kotlin, Android, JVM backend, code review, QA, or technical mentoring experience
  • 3Strong knowledge of Kotlin syntax, null safety, data classes, sealed classes, generics, extension functions, collections, lambdas, coroutines, flows, exception handling, and Java interoperability
  • 4Ability to identify issues such as incorrect coroutine usage, unsafe null handling, flawed logic, or non-executable code
  • 5Familiarity with Android, Jetpack Compose, Gradle, Ktor, Spring Boot, JUnit, MockK, Espresso, Kotlin Flow, GitHub, CI/CD, and app architecture patterns
  • 6Experience leading or supporting remote teams of trainers, engineers, reviewers, or QAs
  • 7Comfort with Discord, Google Sheets, Google Docs, trackers, dashboards, GitHub, and PM systems
  • 8Highly organized with a track record of maintaining style guides, trackers, FAQs, onboarding materials
  • 9Experience with AI training, LLM evaluation, code QA, or rubric-based code review is a strong plus
  • 10Proficient English for guidelines and technical feedback

Who Should Apply

Ideal candidates are seasoned Kotlin professionals who have led or supported remote QA or training teams. They understand Kotlin idioms, coroutine patterns, and Android and JVM ecosystems. This role suits individuals who can produce precise, written feedback and maintain clear documentation. It may be less suitable for applicants without hands-on Kotlin QA or mentoring experience or those not comfortable operating asynchronously with remote teams; candidates who struggle with strict style guides or concise technical feedback may score lower.

Salary Insight

$65/hr. Compensation is hourly and discussed in detail during recruitment. This rate aligns with mid-senior Kotlin, Android, and QA leadership experience for contract work.

Location

Typeremote
LocationRemote
Eligible countriesUnited States
This is a remote position

Required Skills

aikotlinandroidqacode reviewcoroutinesjvmkotlin flowktormockkespressogradlejetpack composespring bootjunitgitci/cddiscordremote team leadershipdocumentationonboardingai trainingkotlin qallm evaluationtestingtrainer feedback

Application Tip

Showcase a portfolio of Kotlin QA work, including examples of rubric-based reviews and documentation you authored or contributed to. Highlight leadership of remote QA teams and any AI training or LLM evaluation experience.

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