Senior Software Engineer – Open Source & SWE-Bench Evaluation

Anyone AI Inc.; Colombia; Remoto; COP 66.960.000 - 133.920.000; Part-time

Vantaggi offerti da questo lavoro

Remote work

Flexible hours

Descrizione del lavoro

Anyone AI Inc. is seeking experienced Software Engineers for a remote, part-time consulting project focused on evaluating real-world software engineering tasks drawn from open-source repositories. You will review tasks based on GitHub issues and PRs, assess clarity and solvability, and judge test coverage and reproducibility across environments.

The role emphasizes rigorous testing, dependency management, and architectural insight to ensure tasks meet real-world software engineering standards.

Competenze

• 3+ years of professional software engineering experience.
• Experience with large multi-file codebases.
• Experience reviewing pull requests and debugging issues.
• Strong understanding of unit testing and test coverage.
• Ability to evaluate tests’ effectiveness without overly constraining solutions.
• Experience with dependency management and environment setup.
• Strong Git and GitHub workflows knowledge.
• Ability to provide clear written feedback.

Mansioni

• Review coding tasks derived from real GitHub issues and PRs.
• Assess whether problem statements and success criteria are clear and complete.
• Evaluate unit tests for correctness, coverage, and robustness; identify flaky tests and environment issues.
• Determine whether tasks can be reproduced across environments.
• Assess real-world difficulty and complexity of each task.
• Provide clear recommendations on whether tasks should be accepted, improved, or excluded.

Conoscenze

Years of experience

Large codebases

PR review

Unit testing

Dependency management

Git/GitHub workflows

Written feedback

Environment setup

Strumenti

Docker

CI/CD

pytest

Descrizione del lavoro

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 robustnessIdentifying 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.