Senior Software Engineer – Open Source & SWE-Bench Evaluation

Anyone AI Inc.; Argentina; A distancia; ARS 9.643.000 - 19.286.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Remote work

Part-time project-based

Flexible schedule

Descripción de la vacante

Anyone AI Inc. is seeking experienced Software Engineers to join a remote, part-time project focused on reviewing and evaluating real-world coding tasks drawn from open-source repositories. You will assess task clarity, feasibility, test coverage, and reproducibility across environments.

The role emphasizes strong debugging, PR review, and the ability to provide clear written feedback on complex codebases, with a flexible schedule suitable for project-based engagements.

Formación

• 3+ years of professional software engineering experience.
• Experience reviewing pull requests and debugging production code.
• Strong unit testing and code coverage mindset.
• Familiarity with Git and GitHub workflows.
• Clear written communication of technical feedback.

Responsabilidades

• Review coding tasks derived from real GitHub issues and PRs.
• Assess clarity of problem statements and success criteria.
• Evaluate unit tests for correctness, coverage, and robustness.
• Identify flaky tests, missing dependencies, and environment issues.
• Provide clear recommendations on task acceptance or improvements.

Conocimientos

3+ years experience

Large multi-file codebases

PR review & debugging

Unit testing & coverage

Git & GitHub workflows

English communication

Herramientas

Git

GitHub

Docker

pytest

Descripción del empleo

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

• 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.