Open Source Maintainer & Core Contributor (Remote)

Synthires

California

Remote

USD 170,000 - 243,000

Part time

2 hours ago
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Job summary

Synthires is seeking an Open Source Maintainer / Core Contributor to support an AI research project. Remote, hourly contract at $150/hour. 30-40 hours/week, exclusive engagement, background checks, and a company-provided device are required.

You will review AI-generated code, design realistic engineering tasks, and create reference solutions. You will work with Docker, test locally, and provide detailed feedback to maintain high-quality, reusable code.

Qualifications

  • Maintainer or core contributor to a widely used open-source project.
  • Verifiable history of sustained open-source contributions (GitHub).
  • Senior-level code review skills and ability to assess AI-generated code, tests, and edge cases.
  • Hands-on experience building and testing projects locally, including with Docker.

Responsibilities

  • Develop realistic engineering tasks based on an open-source project you know well, including features, refactoring, and bug fixes.
  • Create accurate reference solutions and evaluation materials.
  • Review AI-generated code, tests, and grading rubrics against repository architecture and quality standards.
  • Build, run, and test projects locally, including using Docker.
  • Provide detailed technical feedback and explain strengths and weaknesses of AI-generated solutions.
  • Collaborate with subject matter experts to maintain training data accuracy.

Skills

Open source maintainer
Core contributor
Code review
Strong communication
Technical reasoning

Tools

Docker
GitHub
CI/CD

Job description

Synthires is seeking an Open Source Maintainer / Core Contributor to support an AI research project. Remote, hourly contract at $150/hour. 30-40 hours/week, exclusive engagement, background checks, and a company-provided device are required.

You will review AI-generated code, design realistic engineering tasks, and create reference solutions. You will work with Docker, test locally, and provide detailed feedback to maintain high-quality, reusable code.

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