Senior Software Engineer – Open Source & SWE-Bench Evaluation

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.

What You’ll Work On

You’ll review software engineering tasks involving:

Real-world bug fixes and feature implementations

Open-source repositories and pull requests

Unit tests and test coverage

Repository setup and dependency management

Reproducibility and environment configuration

Task difficulty and complexity

Multi-file and cross-module code changes

Technical feedback and quality assessment

You’ll determine whether tasks are clearly specified, technically solvable, supported by sufficient tests, and free from issues such as flaky tests, missing dependencies, ambiguous requirements, or environment-specific behavior.

What We’re Looking For

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 Have

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

What You’ll Be Responsible For

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

Engagement

• Work Type: Remote
• Engagement: Part-time, project-based consulting
• Focus: Software engineering, open-source code review, testing, and technical evaluation

This role is a strong fit for experienced engineers who enjoy debugging complex codebases, reviewing pull requests, working with open-source software, and evaluating what makes a software engineering problem well designed.