Freelance Software Developer (Kotlin) - Quality Assurance (AI Trainer) at Mindrift

, , United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

23 Mar, 26

Salary

50.0

Posted On

23 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Kotlin, Android Development, Automated Testing, CI/CD, Quality Assurance, Performance Optimization, Crash Analysis, Memory Debugging, AI/ML Integration, Swift, Xcode, Testing Frameworks, UI Automation Testing, Architectural Patterns, Data-Driven Insights, Flexibility, Adaptability

Industry

technology;Information and Internet

Description

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). Experience integrating AI/ML capabilities (Core ML, Vision, Create ML). Practical use of AI-assisted tools for code generation, refactoring, and test automation. Strong skills in crash analysis, memory debugging, and performance profiling. Level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $50/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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Responsibilities

Design and maintain automated tests for Kotlin and Android applications while collaborating with developers to resolve issues. Monitor app behavior in production and use insights to guide testing priorities.