Mobile Software Engineering Expert - AI Training Projects

Gramian Consulting Group

10h

About The Position

Gramian Consultancy is seeking experienced Mobile Software Engineers to train and evaluate next-generation AI systems. The role involves designing challenging, real-world mobile development tasks to assess an AI model's ability to debug complex applications, implement features, refactor code, and optimize performance. Responsibilities include building reproducible development environments, creating deterministic automated tests, and providing verified reference solutions for reliable evaluation of AI-generated code.

Requirements

• Significant hands-on experience in at least one mobile development specialization: cross-platform, iOS, or Android.
• Strong programming skills in at least one relevant language: TypeScript, JavaScript, Dart, Swift, or Kotlin.
• Deep understanding of mobile application architecture, state management, asynchronous programming, and application lifecycle.
• Proven ability to troubleshoot complex mobile applications, identify subtle defects, and implement robust fixes.
• Experience developing mobile features, refactoring codebases, and improving application performance.
• Ability to create automated tests, validate expected behavior, and distinguish correct implementations from superficial workarounds.
• Strong analytical thinking, attention to detail, and clear technical documentation.
• Availability to begin work shortly after onboarding and meet minimum weekly task submission requirements.

Responsibilities

• Design realistic, challenging mobile software engineering tasks for advanced AI models using existing code repositories.
• Create problems involving complex debugging, feature development, code refactoring, application state management, lifecycle handling, and performance optimization.
• Develop tasks within at least one mobile development track: Cross-platform (React Native, TypeScript, JavaScript, or Flutter with Dart), iOS (Swift, SwiftUI, or UIKit), or Android (Kotlin, Jetpack Compose, or the Android View system).
• Set up reproducible environments with clear requirements, dependencies, and execution instructions.
• Write deterministic automated verifiers that accept valid implementations while rejecting incorrect, incomplete, or hard-coded solutions.
• Develop and validate golden reference solutions demonstrating correct approaches to each task.
• Ensure tasks are technically rigorous, unambiguous, reproducible, and suitable for evaluating advanced AI coding capabilities.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed