Android Engineer (Kotlin and Java)

As an Android Engineer (Kotlin / Java), you will work remotely on an hourly paid basis to review AI-generated Android code, mobile architectures, and technical explanations, as well as produce high-quality reference implementations and step-by-step reasoning for complex engineering problems. You will assess solutions for correctness, clarity, security, performance, reliability, and adherence to the prompt; identify issues in Jetpack Compose/UI, concurrency, threading, memory/performance, app lifecycle, networking, persistence, and build/release practices; fact-check technical information; write high-quality explanations and model solutions that demonstrate best practices; and rate and compare multiple AI responses based on correctness and reasoning quality.

This fully remote, hourly paid contractor role is with SME Careers, a fast-growing AI data services company and subsidiary of SuperAnnotate that provides AI training data to many of the world’s largest AI companies and foundation model labs—where your frontend expertise will directly help improve the world’s premier AI models used by millions of developers worldwide.

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.

Your profile

• Bachelor’s degree or higher in Computer Science, Software Engineering, or a closely related technical field (or equivalent practical experience).
• 4+ years of professional experience building production Android apps, including work in Kotlin and (ideally) Java codebases.
• Expert-level proficiency in Kotlin (Kotlin 1.6+): null-safety, coroutines/flows, sealed types, generics, and idiomatic patterns.
• Strong Android fundamentals: app lifecycle, Activities/Fragments, state restoration, background execution limits, and permissions.
• Modern UI experience with Jetpack Compose and/or Views; ability to reason about recomposition, state hoisting, and UI performance.
• Concurrency expertise: coroutines, Flow, threading best practices, cancellation, and avoiding race conditions/ANRs.
• Strong knowledge of architecture patterns: MVVM, Clean Architecture concepts, dependency injection (Hilt/Dagger/Koin), and modularization.
• Experience with networking and data: Retrofit/OkHttp, serialization, caching, offline strategies, and persistence (Room/SQLite/DataStore).
• Experience with testing and quality: JUnit, instrumentation tests, Compose UI tests/Espresso, mocking strategies, CI/CD (Gradle, Play Console workflow).
• Security awareness: secure storage (Keystore/EncryptedSharedPreferences), auth flows, certificate pinning awareness, privacy permissions, and sensitive data handling.
• Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines.
• Previous experience with AI data training, annotation, or evaluating AI-generated technical content is a strong plus.
• Highly detail-oriented and systematic, with a methodical approach to evaluating reasoning quality and identifying subtle issues in complex Android code.

Key responsibilities

• Develop AI Training Content: Create detailed prompts across Android topics and write high-quality reference answers to guide AI learning.
• Optimize AI Performance: Evaluate and rank AI responses to enhance correctness, security, performance, and maintainability.
• Ensure Model Integrity: Test AI outputs for inaccuracies or unsafe recommendations, validating reliability across real-world Android use cases.