Kotlin Team Lead

AI Trainer Jobs

United States

Remote

USD 54,000 - 90,000

Part time

43 hours ago
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Job summary

AI Trainer Jobs is seeking a Kotlin Quality Assurance Lead for a remote hourly contractor role in the United States. You will oversee Kotlin QA across training projects, review AI-generated Kotlin code and trainer outputs, and ensure compliance with project guidelines and standards.

Responsibilities include spot-checking Kotlin items, evaluating coroutine usage, and producing clear feedback. You will also create Kotlin documentation, style guides, onboarding materials, and participate in

Qualifications

  • 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.

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.

Skills

Kotlin
QA
Code review
Trainer feedback
Testing
LLM evaluation
AI training
Coroutines
JVM
Android

Education

Bachelor/Master in CS/CE/IT

Tools

Android
Gradle
Ktor
Spring Boot
JUnit
MockK
Espresso
Kotlin Flow
GitHub
CI/CD
App architecture patterns

Job description

Pay: up to $65/hour

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.

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.

Skills: Kotlin QA, Code review, Trainer Feedback, Testing, LLM evaluation, AI Training, Coroutines, JVM, Android, Kotlin

Open to candidates in: The United States

Interview language: English

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