Android Code Review and AI Training Engineer

You will review AI-generated Android code, mobile architecture choices, and technical explanations. You will also write reference implementations, detailed prompts, and model answers that help improve Android-focused AI outputs.

Your reviews will cover correctness, reasoning quality, security, performance, reliability, maintainability, and whether each response follows the prompt.

• Review Android code, architecture decisions, and technical explanations generated by AI.
• Find issues involving Jetpack Compose, Views, concurrency, threading, app lifecycle, networking, persistence, memory use, and release workflows.
• Write clear reference implementations and step-by-step explanations based on Android best practices.
• Compare and rate multiple AI responses for correctness, security, performance, reasoning quality, and maintainability.
• Create Android prompts and reference answers for AI training content.
• Check outputs for inaccurate information, unsafe recommendations, and subtle implementation flaws.

What It Pays and Takes

This is a remote, part-time contractor role for an intermediate-level Android engineer. The work requires strong technical judgment and clear written English.

• Pay: $35 to $110 USD per hour.
• Time: 20 or more hours per week.
• Work arrangement: Remote contractor, part time.
• Eligible locations: Bangladesh, Bhutan, Cambodia, Germany, India, Indonesia, Malaysia, Nepal, Pakistan, Singapore, Sri Lanka, Thailand, the Philippines, the United States, Timor-Leste, and Vietnam.
• Language: English.
• Experience: Strong production Android experience with Kotlin; Java experience is helpful.
• Android knowledge: Activities and Fragments, app lifecycle, state restoration, background execution limits, Jetpack Compose or Views, recomposition, state hoisting, and UI performance.
• Concurrency: Coroutines, Flow, threading, cancellation, race conditions, and avoiding application-not-responding errors.
• Architecture: MVVM, Clean Architecture, dependency injection, and modularization.
• Development tools and practices: Retrofit, OkHttp, Room, SQLite, DataStore, unit tests, instrumentation tests, UI tests, CI/CD, and release workflows.
• Security: Secure storage, authentication flows, certificate pinning, and privacy permissions.
• Helpful background: AI data training, annotation, evaluation of AI-generated technical content, Android code review, or debugging workflows.

How It Works

You apply on OpenTrain with your resume and then complete the application on the hiring site.

About AI Training Work

AI training work uses human examples and reviews to improve how artificial intelligence responds. In this role, your Android engineering judgment helps evaluate technical answers and create better examples for AI systems.