Freelance Software Developer (Kotlin) - AI Trainer at Mindrift

Quebec, Quebec, Canada -

Full Time

Start Date

Immediate

Expiry Date

26 Mar, 26

Salary

45.0

Posted On

26 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Kotlin, JVM Ecosystem, Java Interoperability, Android SDK, Jetpack Compose, MVVM, Clean Architecture, Coroutines, Async Programming, DI Frameworks, Git Workflows, CI/CD Pipelines, Docker, Cloud Platforms, RESTful APIs, Spring Framework

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 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. 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. 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 $45/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

As an AI Tutor in Coding, you will design high-quality technical content and collaborate with engineers to ensure accuracy across code samples. You will also explore modern Kotlin frameworks to create practical examples for learning and testing.