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# Open Source Maintainer - AI/ML

- **Company:** Mercor
- **Location:** Berlin, Germany (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Training Data, Test Suite, Artificial Intelligence, Software Bug Management, Code Review, Github, Open Source Technology, Software Engineering, Docker
- **Published:** November 5, 2026
- **Apply:** https://www.adzuna.de/details/5952953569

## About the Role

Must-Have

 * Maintainer (named in MAINTAINERS or CODEOWNERS, or 10+ PR reviews in the last 12 months) or core contributor (3+ substantive merged PRs in the last 12 months) of a widely used open-source project.
 * The repository is 2+ years old, has real users, and an active code review culture, and is primarily human-written.
 * Years of sustained open-source contributions, with a public history that can be verified against the candidate's own GitHub account.
 * Senior-level code review judgment, including the ability to critically assess AI-written code, tests, and edge cases.
 * Hands-on ability to build and run the project and its test suite locally, including with Docker.
 * Ability to engage reliably for 40 hours/week during weekdays on an exclusive basis.
 * Able to complete any necessary background checks and confidentiality agreements before starting, and to work on a company-provided device to protect the security of information.
 * Writes all rationales and feedback personally, in their own words.
 * Strong written communication skills and the ability to explain complex technical decisions clearly.

## Description

* Guide research and engineering teams to close knowledge gaps and improve AI model performance in software engineering, code review, and open-source maintenance topics.
 * Design challenging, realistic engineering tasks grounded in the open-source codebase, such as features, refactors, and bug fixes a maintainer would assign, and write accurate, well-structured reference solutions.
 * Evaluate AI-written code, tests, and grading rubrics against the repository's architecture, conventions, and quality bar, providing clear, written technical feedback.
 * Build, run, and test the project locally, including with Docker, to confirm that tasks, solutions, and tests behave as intended.
 * Write precise rationales that explain what a strong solution looks like and where AI-generated changes fall short.
 * Collaborate with other subject matter experts to ensure consistency and accuracy in training data.