Freelance Software Developer (Java) - Quality Assurance / AI Trainer

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:

How to get started

Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you ll play a key role in advancing AI capabilities and real-world applications.

• You hold a

  Bachelors or Master s Degree

  in Computer Science, Software Engineering, Software Development, Computer Engineering, Mobile App Development, Cloud Computing, Data Science, Big Data or other related fields.
• You have

  at least 3 years

  of professional experience in Java 17+, including streams API and concurrent programming.

• Your level of English is advanced (C1) or above.

• Hands-on experience with JUnit 5, TestNG, Mockito, and TestContainers.
• Proficiency with build tools (Maven, Gradle), IDEs (IntelliJ IDEA), and CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI).
• Experience with the Spring ecosystem (Spring Boot, Spring Data, Spring Security), JPA/Hibernate.
• Strong understanding of JVM internals, garbage collection, performance optimization, and design patterns.
• Experience with messaging systems (Kafka, RabbitMQ) and microservices architectures.
• Practical use of AI-assisted tools for refactoring, performance analysis, and test generation.
• Familiarity with cloud platforms (AWS, Azure), containers, and Kubernetes.
• Strong skills in JVM profiling (JProfiler, VisualVM) and debugging.
• 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.