Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Anyone AI

Senior Software Engineer – Open Source, SWE-Bench Evaluation

Anyone AI

. Review software engineering tasks derived from real GitHub issues and pull requests .

Posted 10/10/2026part-timeRemote • ArgentinaSenior💰 $65 per hourWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong expertise in software engineering with a focus on reviewing code quality, unit testing, and dependency management. Proficient in analyzing complex technical problems and providing clear recommendations based on real-world scenarios.

Highest-signal resume keywords
Software Engineering ExperienceUnit Testing and Test CoverageGit and GitHub WorkflowsDependency ManagementCode Review and Debugging

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Software EngineeringUnit TestingCode ReviewDebuggingDependency ManagementTest Coverage AnalysisTechnical Problem AnalysisMulti-file Codebase ManagementEnvironment SetupTechnical Quality Assessment
Soft Skills
Clear Written FeedbackAnalytical Thinking
Tools & Technologies
GitGitHubDockerCI/CDPipCondaSWE-BenchDjangoFlaskPytest
Industry Keywords
Open-source ContributionsTest FixturesTest IsolationProperty-based TestingAI/ML EvaluationData CurationRLHFBenchmark Development

Tech Stack

Tools & technologies
DjangoDockerFlaskPythonScikit-Learn

About the role

Key responsibilities & impact
  • Review software engineering tasks derived from real GitHub issues and pull requests
  • Assess whether problem statements and success criteria are clear and complete
  • Evaluate unit tests for correctness, coverage, and robustness
  • Identify flaky tests, missing dependencies, version conflicts, and environment issues
  • Determine whether tasks can be reliably reproduced across environments
  • Assess the real-world difficulty and complexity of each task
  • Provide clear recommendations on whether tasks should be accepted, improved, or excluded
  • Review real-world bug fixes and feature implementations, repository setup, dependency management, multi-file and cross-module changes, and technical quality

Requirements

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

Benefits

Comp & perks
  • Remote work
  • Part-time, project-based consulting engagement