Kotlin Quality Assurance Lead
Review Kotlin code and trainer submissions that shape AI systems, with a focus on Android, JVM, coroutines, security, and rubric quality. This part-time contractor role pays $65 per hour for 20+ hours weekly.
Coding & Software
$65/hr
Compensation
1 country
Eligibility
Intermediate
Experience
Jul 9, 2026
Posted
Open to applicants in
About OpenTrain
OpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping contributors discover projects, build a professional profile, and apply in minutes. Creating an OpenTrain account is free.
About AI Training Work
AI training is the human side of building modern artificial intelligence. Contributors review examples, evaluate model outputs, write feedback, and apply specialized expertise so AI systems become more accurate, useful, and reliable. In this role, your Kotlin knowledge will help assess code generated or submitted for Kotlin-focused training projects.
- Work directly with cutting-edge AI development through code evaluation and human feedback
- Use your technical judgment to improve correctness, clarity, safety, and instruction following
- Join a fast-growing field that can support flexible, part-time work
The Role
OpenTrain is seeking an intermediate Kotlin Quality Assurance Lead to oversee quality and consistency across Kotlin AI training work. You will review AI-generated Kotlin code and trainer QA submissions, evaluate work against project guidelines, and provide precise written feedback.
This contractor position requires 20+ hours per week and pays $65 USD per hour. The role is part-time and intended for candidates in the United States who can communicate clearly in English.
- Employment type: Contractor and part-time
- Experience level: Intermediate
- Location eligibility: United States
- Time commitment: 20+ hours per week
- Compensation: $65 USD per hour
- Primary language: English
What You'll Do
You will support quality operations for Kotlin-focused AI training projects and help ensure contributor output is executable, idiomatic, clearly explained, and aligned with expected standards. The work combines technical review, contributor guidance, documentation, and process improvement.
- Review Kotlin code, Android and JVM snippets, coroutine workflows, tests, and explanations
- Evaluate correctness, type safety, coroutine behavior, Android and JVM awareness, debugging accuracy, readability, maintainability, performance, security, test coverage, formatting, instruction following, and rubric adherence
- Provide detailed written feedback and ongoing quality guidance to contributors
- Answer contributor questions and communicate Kotlin-specific standards and guideline changes
- Flag insecure, misleading, non-executable, or non-production-ready recommendations
- Improve QA processes based on recurring quality gaps
- Help maintain documentation, style guides, trackers, FAQs, honeypots, and onboarding materials
- Support activation tracking and onboarding calls
Required Qualifications
You should have strong Kotlin experience and be able to assess both language fundamentals and practical application. Clear written English is essential because the role involves detailed technical feedback, contributor communication, and rubric-based evaluation.
- Strong knowledge of Kotlin syntax, null safety, and idiomatic language use
- Experience with data classes, sealed classes, generics, extension functions, collections, lambdas, coroutines, flows, exception handling, and Java interoperability
- Ability to evaluate code correctness, readability, maintainability, and rubric adherence
- Experience reviewing Android or JVM backend code
- Clear written English and confidence giving technical feedback
Helpful Background
The following experience is helpful for reviewing a broad range of Kotlin submissions and supporting contributors, but it is presented as preferred background rather than a required qualification.
- Code review, quality assurance, AI training, LLM evaluation, or mentoring experience
- Android development or JVM backend development
- Android, Jetpack Compose, Gradle, Ktor, Spring Boot, JUnit, MockK, Espresso, GitHub, or CI/CD experience
- Familiarity with app architecture patterns
- Experience leading or supporting remote teams of trainers, engineers, reviewers, or QAs
- Comfort using Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems
Build Your AI Training Career
Kotlin specialists can bring meaningful software engineering expertise to AI training by identifying subtle errors, unsafe recommendations, weak explanations, and non-idiomatic code. Your reviews help shape how AI systems understand and generate production-minded Kotlin across Android and JVM contexts.
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