Mobile App Developer

Accountabilities:

As a Senior Mobile Software Engineer contributing to AI training, you will develop rigorous coding challenges and evaluation environments that assess how effectively AI models solve real-world mobile engineering problems. Your main responsibilities will include:

• Create realistic, engaging, and technically challenging mobile coding tasks using repositories of your choice.

• Design problems that assess advanced engineering skills, including identifying subtle bugs, implementing complex features, managing application state and lifecycle, refactoring code, and improving performance.

• Develop tasks within your area of expertise, including cross-platform applications built with TypeScript, JavaScript, or Dart; iOS applications using Swift; or Android applications using Kotlin.

• Define clear problem statements and establish reproducible development environments for each coding challenge.

• Build deterministic automated verifiers that accept correct solutions across different valid implementations while rejecting incorrect, incomplete, or hard-coded approaches.

• Develop high-quality reference solutions demonstrating effective ways to solve each task.

• Ensure that challenges accurately reflect real-world mobile software engineering requirements and test meaningful technical problem-solving abilities.

• Meet the project's minimum weekly submission requirements, which will be communicated during onboarding.

Requirements:

The ideal candidate will have strong hands-on mobile engineering experience, excellent debugging skills, and a solid understanding of modern application development principles. Relevant qualifications include:

• Significant practical experience in at least one of the following mobile development tracks:

  • Cross-platform development: TypeScript or JavaScript with React Native, or Dart with Flutter.

  • iOS development: Swift with SwiftUI or UIKit.

  • Android development: Kotlin with Jetpack Compose or the Android View system.

  • Deep understanding of mobile application architecture, state management, asynchronous programming, and application lifecycle management.

  • Proven ability to debug complex mobile applications, identify root causes, resolve challenging defects, and deliver effective performance improvements.

  • Strong problem-solving skills and the ability to design sophisticated coding challenges that reflect realistic engineering scenarios.

  • Ability to create reproducible environments, develop reliable automated tests or verifiers, and distinguish robust solutions from incomplete or hard-coded implementations.

  • Capacity to produce clear, technically sound reference solutions and work independently in a remote environment.

  • Availability to meet minimum weekly task submission requirements.

  Benefits:

  • Compensation: USD 50–100 per hour as indicated in the listing; actual compensation is output-based, with payment per task that meets project specifications.

  • Remote work: Work remotely, with flexibility to organize your workflow.

  • Part-time commitment: Approximately 15 hours per week.

  • Flexible work approach: Complete tasks using your preferred repositories and established engineering workflow, subject to project requirements.

  • Technical impact: Apply your expertise to the development and evaluation of advanced AI systems.

  • Specialized engineering work: Focus on challenging mobile development problems across cross-platform, iOS, or Android technologies.

  • Clear onboarding expectations: Minimum weekly submission requirements will be communicated during onboarding.