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Software Engineering sme_careers

Android Engineer (Kotlin and Java)

SME Careers Worldwide Posted 0 days ago

Education

Any

Type

Pay Rate

$0/task

Posted

0d ago

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About this Role

About the job

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.

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.

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.

Desired Skills and Experience

Java, Jetpack Compose, Kotlin, Android, Debugging, Code Review, Coroutines, Networking, App Architecture (MVVM/Clean), Performance Optimization

Requirements

  • Advanced degree or strong hands-on professional experience in the domain
  • Ability to pass domain-specific qualification assessments
  • Eligible to create a verified account on Deel (for payments/compliance)
  • Proficiency in English (for instructions and feedback)
  • Must be located in one of the 40+ supported countries (e.g., Worldwide)

Compensation Analysis

Don't just label data—build a career. SME Careers is unique in the AI training space because it offers a transparent growth ladder. High performers aren't just kept in the queue; they are promoted to Quality Analysts and Project Managers. With weekly transparent payments via Deel and the freedom to work on your own schedule, this is built for modern experts who want long-term engagement.

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Frequently Asked Questions

Is there room for advancement?

Yes. This is a key feature of the platform. They explicitly list a career path: Data Trainer -> Quality Analyst -> QA Lead -> Project Manager. Consistent high-quality work can lead to leadership roles.

How do payments work?

Payments are processed weekly through Deel. This ensures tax compliance and allows them to hire freelancers from over 40 countries securely.

Is the work ongoing or project-based?

Work is project-based, which means assignments can vary in duration and availability. However, top performers often get priority access to new projects.

What does the work actually look like?

It is practical, hands-on data work. You might be recording short videos, categorizing images, rating text responses, or analyzing data. The tasks are designed to be short and distinct—typically 5-60 minutes per task.

How flexible is the schedule?

Extremely. This is true "log in and work" flexibility. You can usually work for 20 minutes or 4 hours depending on your availability. There are rarely minimum hour requirements, making it ideal for side income.

Is there an interview?

Usually, no. Hiring for these roles is almost entirely based on passing an automated assessment or "qualification" task. If you pass the test, you get access to the work.

Who is behind SME Careers?

SME Careers is the expert talent division of SuperAnnotate, a leading AI data infrastructure platform. They connect domain experts with high-level AI training projects.