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Open Source Contributor

Freelance/Autónomo

Austria (Austria), Belgium (Belgium), Croatia (Croatia), Denmark (Denmark), France (France), Finland (Finland), Germany (Germany), Italy (Italy), Luxembourg (Luxembourg), Norway (Norway), Portugal (Portugal), Spain (Spain), Sweden (Sweden), Switzerland (Switzerland), United Kingdom (United Kingdom)

Publicado el 17 de julio de 2026

  • Contrato

    Freelance/Autónomo

  • Localizaciones

    Austria (Austria), Belgium (Belgium), Croatia (Croatia), Denmark (Denmark), France (France), Finland (Finland), Germany (Germany), Italy (Italy), Luxembourg (Luxembourg), Norway (Norway), Portugal (Portugal), Spain (Spain), Sweden (Sweden), Switzerland (Switzerland), United Kingdom (United Kingdom)

  • Fecha de inicio

    Lo antes posible

  • Salario

    50 USD - 100 USD / por hora

  • Teletrabajo

    Posibilidad de teletrabajar a tiempo completo

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Role Title: Open Source Contributor


Role Type: Contractor

Location: Remote


micro1 is engaging Open Source Contributors to participate in a very complex and challenging Software Engineering project.


As an expert you will be creating Reinforcement Learning Environments which test and AI model’s ability to solve complex software engineering problems related to fixing code, creating features, refactoring code and optimizing performance. You will be tasked with creating a reproducible environment and golden reference solution for the problem.


Applicants must have clear open source contributions and profiles to showcase it like GitHub or GitLab. (Preferrably with C++, Python, JAVA, GoLang, Typescript, or Rust)


Scope of Work

  1. Contribute production-quality code, reviews, and documentation to open-source repositories relevant to the customer’s project.
  2. Design, implement, and optimize complex algorithms and system components using one or more of the following languages: C++, Python, JAVA, GoLang, Typescript, or Rust.
  3. Identify and resolve technical challenges, bugs, and performance bottlenecks in existing codebases.
  4. Collaborate with other contributors and stakeholders to align deliverables with project goals and best practices.
  5. Create, maintain, and enhance technical documentation to support knowledge sharing and onboarding.
  6. Participate in code discussions and provide constructive feedback to elevate overall code quality..



Preferred Qualifications:

  1. Previous experience working on large-scale, distributed codebases.
  2. Familiarity with modern AI or machine learning systems is a plus, though not required.
  3. Background in participating in rigorous code reviews and contributing to the development of software best practices.


Process:

  1. Apply to the role, filling out the screening questions
  2. Complete AI interview (aprox. 30 minutes)
  3. Technical Assessment (Tentative)
  4. Hiring Manager review


Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.


Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.

Fecha límite de candidatura

Siempre que la oferta esté en línea

Nivel de estudios

Nivel de máster o equivalente; Doctorado

Función

Tecnología

Más información sobre la empresa

JT AI Labs

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