Senior Mobile Engineer – Remote AI Task Architect

Synthires; United States; Remote; CAD 98,000 - 196,000; Part time

Job summary

Synthires is seeking a Senior Mobile Software Engineer on a remote contractor basis to develop and evaluate mobile-based tasks for advancing AI systems. The role emphasizes Swift/Kotlin development, architecture, and performance optimization to create robust evaluation environments.

The project centers on building reproducible development environments and reference solutions that aid in AI model training, with a flexible schedule of around 15 hours per week and remote work from Canada.

Qualifications

• Expertise in iOS or Android development with strong mobile architecture understanding.
• Experience with state management and asynchronous programming in mobile apps.

Responsibilities

• Design realistic and challenging mobile software engineering tasks reflecting real-world scenarios.
• Create coding challenges involving bug fixing, feature development, refactoring, architecture improvements, and performance optimization.
• Build reproducible development environments for consistent evaluation of solutions.
• Develop deterministic validation and testing frameworks to verify task completion.
• Create tasks focused on mobile app architecture, state management, lifecycle handling, and performance optimization.
• Produce reference solutions showing effective approaches to problems.
• Document problem requirements, expected behaviors, evaluation criteria, and solution methodologies.
• Review and refine tasks for clarity, reproducibility, and rigor.

Skills

iOS development

Android development

SwiftUI / UIKit

Kotlin / Jetpack Compose

Mobile architecture

Debugging / troubleshooting

Asynchronous programming

Lifecycle management

Tools

CI/CD pipelines

Mobile testing frameworks

Reference task design

Job description

Synthires is seeking a Senior Mobile Software Engineer on a remote contractor basis to develop and evaluate mobile-based tasks for advancing AI systems. The role emphasizes Swift/Kotlin development, architecture, and performance optimization to create robust evaluation environments.

The project centers on building reproducible development environments and reference solutions that aid in AI model training, with a flexible schedule of around 15 hours per week and remote work from Canada.