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Open nowFirst seen 26 hours ago

Remote | Senior Mobile Developer — $50–$100/hour

24-MAG343 open roles

Where
New York, United States, Remote
Work mode
Remote
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Your applicationOpen nowRemote | Senior Mobile Developer — $50–$100/hour24-MAG · New York, United States, Remote

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. 24-MAG postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 26 hours ago

24-MAG median: 1 days open

The posting

We are sharing a specialised remote consulting opportunity for experienced Senior Mobile Developers with strong expertise in iOS, Android, or cross-platform application development, mobile software architecture, debugging, and performance optimisation to contribute their technical knowledge to advanced AI training and evaluation initiatives.

Selected professionals will design challenging mobile software engineering tasks that evaluate how frontier AI models identify bugs, implement features, refactor code, and improve application performance. The work involves creating reproducible development environments, deterministic evaluation tests, and reference implementations that assess AI problem-solving capabilities across real-world mobile engineering scenarios. Prior experience with AI training projects is not required.

Key Responsibilities

Mobile Engineering Task Development

  • Design realistic and technically challenging mobile software engineering tasks using suitable application repositories.
  • Create coding challenges involving bug fixes, feature development, code refactoring, and performance improvements.
  • Develop tasks requiring a strong understanding of mobile application architecture and engineering practices.
  • Incorporate complex application state, asynchronous operations, and lifecycle behaviour into relevant scenarios.
  • Ensure tasks reflect practical engineering problems encountered in professional mobile development.

Platform-Specific Development & Implementation

  • Develop mobile engineering challenges within an area of technical expertise, including iOS, Android, or cross-platform applications.
  • Apply Swift with SwiftUI or UIKit to relevant iOS development assignments.
  • Use Kotlin with Jetpack Compose or the Android View system for Android-focused challenges.
  • Develop cross-platform tasks involving React Native with TypeScript or JavaScript, or Flutter with Dart.
  • Incorporate realistic platform-specific constraints, application behaviours, and implementation requirements.

Debugging, Refactoring & Performance Optimisation

  • Design problems involving subtle bugs and complex application behaviour.
  • Develop scenarios requiring investigation of state management, asynchronous execution, and application lifecycle issues.
  • Create challenges involving meaningful feature implementation and improvements to existing codebases.
  • Assess the correctness and maintainability of mobile code changes and refactoring approaches.
  • Develop tasks that evaluate effective diagnosis and resolution of mobile application performance issues.

Reproducible Environments & Automated Verification

  • Build reproducible development environments for each mobile engineering challenge.
  • Define clear problem statements, expected behaviour, and technical acceptance criteria.
  • Develop deterministic verifiers that evaluate the correctness of submitted solutions.
  • Ensure evaluation tests recognise different valid implementations while rejecting incomplete, incorrect, or hard-coded approaches.
  • Validate task reliability and consistency across repeated evaluation runs.

Reference Solutions & AI Evaluation Quality

  • Produce complete reference implementations demonstrating successful solutions to assigned engineering tasks.
  • Verify that reference solutions satisfy the defined technical requirements and automated checks.
  • Evaluate task difficulty, technical relevance, and suitability for advanced AI model assessment.
  • Document implementation requirements, verification procedures, and expected outcomes clearly.
  • Maintain high standards of engineering quality, reproducibility, and evaluation reliability across deliverables.

Ideal Profile

  • Significant hands-on professional experience in mobile software engineering or application development.
  • Advanced proficiency in at least one of the following development tracks: iOS, Android, or cross-platform mobile applications.
  • Strong experience developing, maintaining, and debugging production-quality mobile applications.
  • iOS expertise: Swift development using SwiftUI or UIKit.
  • Android expertise: Kotlin development using Jetpack Compose or the Android View system.
  • Cross-platform expertise: TypeScript or JavaScript with React Native, or Dart with Flutter.
  • Deep understanding of mobile application architecture and common design patterns.
  • Strong practical knowledge of application state management and lifecycle handling.
  • Experience with asynchronous programming, concurrency, and related debugging challenges.
  • Demonstrated ability to investigate and resolve complex mobile application bugs.
  • Experience implementing non-trivial features within existing mobile codebases.
  • Strong software refactoring skills and an understanding of maintainable code design.
  • Practical experience identifying and resolving mobile application performance issues.
  • Familiarity with software testing, debugging tools, and automated verification workflows.
  • Ability to create reproducible technical environments and clearly specified coding challenges.
  • Strong understanding of test correctness, deterministic evaluation, and implementation-independent acceptance criteria.
  • Experience working with existing code repositories and interpreting complex application logic.
  • Ability to develop reliable reference solutions for technically challenging engineering problems.
  • Strong analytical reasoning, independent problem-solving, and attention to detail.
  • Clear written communication skills for documenting technical requirements and solution criteria.
  • Ability to manage independent technical assignments in a remote environment.
  • Experience in developer tooling, software testing infrastructure, or automated code evaluation is advantageous.
  • Previous experience with reinforcement learning environments or AI model evaluation is beneficial but not required.

Engagement Details

  • Freelance / contract engagement
  • Fully remote
  • Compensation: $50–$100/hour advertised rate range
  • Payment Structure: Output-based compensation, with payment per completed task meeting project specifications.
  • Expected Commitment: Approximately 15 hours per week
  • 100 available openings
  • Availability: Candidates should be prepared for a prompt start following selection and onboarding.
  • Anticipated Start: First assignments are generally expected within 24–48 hours after onboarding.
  • Weekly Deliverables: Minimum task submission requirements apply and will be communicated during onboarding.
  • Professional Focus: Senior mobile software engineering, application architecture, debugging, and AI coding evaluation.
  • Technical Tracks: iOS (Swift, SwiftUI, UIKit), Android (Kotlin, Jetpack Compose, Android Views), or cross-platform (React Native, TypeScript, JavaScript, Flutter, Dart).
  • Evaluation Focus: Complex coding challenges, reproducible environments, deterministic verification, and reference implementations.
  • Responsibilities will include developing realistic mobile engineering problems and creating reliable evaluation environments.
  • Assignments may involve bug investigation, feature implementation, application lifecycle management, refactoring, and performance optimisation.
  • Deliverables will include task specifications, reproducible code environments, automated verifiers, and validated reference solutions.
  • Task completion time may vary depending on technical complexity, professional experience, and individual workflow.
  • Strong mobile engineering expertise, independent technical judgement, and reliable task execution are important for successful participation.
  • Previous experience with AI training projects is not required.

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy

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