Senior Software Engineer – Open Source & SWE-Bench Evaluation

Anyone AI

5d • Remote

About The Position

Anyone AI is recruiting experienced Software Engineers for a specialized project focused on reviewing and evaluating real-world software engineering tasks derived from open-source repositories. The work involves assessing whether coding tasks based on real GitHub issues and pull requests are technically sound, reproducible, appropriately tested, and representative of the kinds of problems professional software engineers solve every day.

Requirements

• 3+ years of professional software engineering experience
• Strong experience working with large, multi-file codebases
• Experience reviewing pull requests, debugging issues, and maintaining production code
• Strong understanding of unit testing and test coverage
• Ability to evaluate whether tests correctly validate a solution without unnecessarily restricting implementation approaches
• Experience with dependency management, environment setup, and reproducibility
• Strong understanding of Git and GitHub-based development workflows
• Ability to analyze complex technical problems and provide clear written feedback

Nice To Haves

• Contributions to or maintenance of open-source projects
• Experience with SWE-Bench, SWE-Bench Verified, or similar coding benchmarks
• Experience with major Python open-source projects such as Django, Flask, scikit-learn, SymPy, matplotlib, requests, or pytest
• Experience with Docker, CI/CD, pip, conda, or dependency pinning
• Knowledge of test fixtures, test isolation, or property-based testing
• Experience designing technical assessments or reviewing coding challenges
• Experience with AI/ML evaluation, data curation, RLHF, or benchmark development

Responsibilities

• Reviewing coding tasks derived from real GitHub issues and pull requests
• Assessing whether problem statements and success criteria are clear and complete
• Evaluating unit tests for correctness, coverage, and robustness
• Identifying flaky tests, missing dependencies, version conflicts, and environment issues
• Determining whether tasks can be reliably reproduced across environments
• Assessing the real-world difficulty and complexity of each task
• Providing clear recommendations on whether tasks should be accepted, improved, or excluded

What This Job Offers

• Job Type: Part-time
• Career Level: Senior
• Education Level: No Education Listed