Freelance Software Developer (Kotlin) - AI Trainer

About the Role

• Design high‑quality technical content, examples, and explanations that demonstrate best practices in Kotlin development.
• Collaborate with engineers to ensure accuracy and consistency across code samples, tutorials, and developer guides.
• Explore modern Kotlin frameworks and tools to create practical, real‑world examples for learning and testing.
• Continuously refine content based on feedback, emerging patterns, and advances in the Kotlin ecosystem.

Requirements

• Bachelor's or Master’s Degree in Computer Science, Software Engineering, Software Development, Computer Engineering, Information Technology or other related fields.
• 3+ years of Kotlin development (Android or server-side).
• Strong knowledge of JVM ecosystem and Java interoperability.
• Experience with Android SDK, Jetpack Compose, modern architecture (MVVM, Clean Architecture).
• Proficiency with coroutines, flows, async programming.
• Familiarity with DI frameworks (Dagger/Hilt/Koin).
• Git workflows, code reviews, Agile/Scrum.
• CI/CD pipelines, Docker, cloud platforms (AWS/Azure/GCP).
• Secure coding practices (OWASP).
• Debugging and optimization skills.
• Ability to leverage AI-assisted development tools.
• Experience building RESTful APIs, microservices, or distributed system interfaces.
• Experience with Spring Framework (Spring Boot, Spring Security, Spring Data).
• Experience with enterprise integration patterns and message queues (Kafka, RabbitMQ).
• Database experience with both SQL (PostgreSQL, Oracle) and NoSQL solutions.
• Experience with enterprise security frameworks and OAuth2/JWT.
• Familiarity with event-driven architectures and CQRS patterns.
• Level of English is advanced (C1) or above.

Why this freelance opportunity might be a great fit for you?

• Get paid for your expertise, with rates that can go up to $40/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.