Git Environments Expert – Advanced Git SWE at Mercor

Git Environments Expert | $85–100/hr | Remote Worldwide

Mercor is partnering with a leading AI lab to build the Git Environments project—a large-scale initiative evaluating and training frontier language models on advanced Git workflows. We're seeking experienced software engineers and Git experts to create high-difficulty Git tasks that help AI models develop safe, efficient version control practices.

This is a project-based opportunity with potential for ongoing contributions based on performance and project needs.

Key Responsibilities

• Design complex, realistic Git scenarios across multiple categories including merge conflicts, interactive rebases, recovery workflows, search operations, and iterative committing
• Author clear, deterministic task prompts with fully testable and verifiable success criteria
• Implement automated test suites using pytest to validate repository state, commit history, and workflow correctness
• Develop and document oracle reference solutions using reproducible Git commands
• Define grading rubrics that separate deterministic checks from qualitative evaluation
• Conduct peer QA reviews of submitted tasks and refine artifacts to meet project standards
• Record task creation and QA workflows according to project guidelines

Ideal Qualifications

• 3+ years of professional experience working extensively with Git in production environments
• Advanced knowledge of Git internals and workflows: merging strategies, interactive rebase, reflog, bisect, branch manipulation, and recovery techniques
• Experience designing technical assessments, benchmarking frameworks, or engineering challenges
• Proficiency in Python and shell scripting for automation and test creation
• Strong attention to detail with ability to write precise, unambiguous technical specifications
• Familiarity with Docker and reproducible development environments (preferred)

What You'll Get

• Access to structured documentation, tooling, and curated repositories
• Clear QA framework with deterministic testing and rubric-based evaluation
• Opportunity to contribute to large-scale AI model benchmarking and reinforcement learning initiatives
• Dedicated Slack channel for technical questions and project support

Application Process

Submit your resume highlighting relevant Git and software engineering experience. Qualified applicants may complete a brief skills-based assessment. Approved contributors receive onboarding documentation and access to project tooling, with initial contributions reviewed to ensure quality alignment.

About Mercor

Mercor is a talent marketplace connecting top experts with leading AI labs and research organizations. Our investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across law, creative fields, engineering, and research collaborate through Mercor on frontier AI initiatives.