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:
Code generation and code review
Prompt evaluation and complex data annotation
Training and evaluation of large language models
Benchmarking and agent-based code execution in sandboxed environments
Working across multiple programming languages
Adapting guidelines for new domains and use cases
Following project-specific rubrics and requirements
Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects
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.
You hold a Bachelor's or Master’s Degree in Computer Science, Software Engineering, Software Development, Computer Engineering, Information Technology or other related fields
You have at least 3 years of professional iOS/macOS development experience
Your level of English is advanced (C1) or above
Mid-level proficiency in Swift 5.9+, including SwiftUI, Combine, async/await, and the concurrency model
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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