Mobile Software Engineering Expert - AI Training Projects
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 14h ago
The date the source published, not the day we noticed it (2026-10-12). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Egypt, Nigeria, Romania, Pakistan, Bangladesh
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $129.2k–208.2k/yr
Middle 50% of 140 listings that do state pay — Engineering · all levels · EMEA · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Workable employer's own board first seen 1h ago · last seen just now
The listing
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are looking for experienced Mobile Software Engineers to help train and evaluate next-generation AI systems. In this role, you will design challenging, real-world mobile development tasks that assess an AI model’s ability to debug complex applications, implement features, refactor code, and optimize performance. You will build reproducible development environments, create deterministic automated tests, and provide verified reference solutions to ensure reliable evaluation of AI-generated code.
Key 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.
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.
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.