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Frontend developer to HR platform with Angular experience
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Freelance Kotlin Developer (m/f/d)
Industry
Information Technology (IT)
Areas
Information Technology (IT)
Research and Development (R&D)
Project info
- Period22.12.2025 - 14.03.2026
- Capacityfrom 5%
- Daily rate130 - 380€
- Language
- English(Advanced)
- English
- Remotefrom 95%
Description
For an AI lab we are looking for Kotlin Developer to train an AI model (Large Language Model - LLM).
You help AI to make sense of the world. As a consultant, you may be invited to take part in online projects to train the model in your domain of expertise.
This flexible role accommodates both experts seeking part-time engagement (minimum a few hours/week) and those interested in full-time opportunities.
- 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
Requirements
- You hold a Bachelor's or Master’s degree in Computer Science, Software Engineering, Software Development, Computer Engineering, Information Technology, or a related field
- You have at least 3 years of professional iOS/macOS development experience
- Your 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)
- 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
- You are ready to learn new methods, able to switch between tasks and topics quickly, and sometimes work with challenging, complex guidelines.