This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.
At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.
What we do
The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.
About the Role
GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects.
Although every project is unique, you might typically:
Design and maintain automated tests to ensure the quality, performance, and reliability of Kotlin and Android applications.
Collaborate with developers to identify, reproduce, and resolve functional, performance, and UI issues across multiple environments.
Define and improve quality standards across build pipelines, ensuring smooth CI/CD integrations and release stability.
Monitor app behavior in production and use data‑driven insights to guide testing priorities and improvements.
Note: Flexibility and quick adaptation to new requirements are essential.
How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.
Bachelor's or Master’s Degree in Computer Science, Software Engineering, Software Development, Computer Engineering, Information Technology or other related fields.
Mid-level proficiency in Swift 5.9+, including SwiftUI, Combine, async/await, and the concurrency model.
3+ years of professional iOS/macOS development experience.
Hands-on experience with testing frameworks (XCTest, Quick/Nimble) and UI automation testing.
Proficiency with Xcode, Swift Package Manager, and CI/CD tools (Fastlane, GitHub Actions, Xcode Cloud).
Experience with App Store deployment and monitoring tools (Crashlytics, Firebase).
Strong understanding of architectural patterns (MVVM, Clean Architecture) and performance optimization (ARC, Instruments).
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