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Freelance Java Developer (m/w/d)

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Industry
Information Technology (IT)
Areas
Information Technology (IT)
Product Development

Project info

  • Period
    08.12.2025 - 28.02.2026
  • Capacity
    from 5%
  • Daily rate
    130 - 380€
  • Language
    • English
      (Advanced)
  • Remote
    from 95%

Description

For an AI lab we are looking for Java Developer to train an AI model (Large Language Model - LLM).

You help AI to make sense of the world. As 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 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, 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.

Application Process:

  • If you are being selected you will by invited to an interview by Mindrift.