Remote - Argentina Remote - Uruguay Remote - Chile Remote - Ecuador Remote - Portugal Remote - Mexico Remote - Colombia Remote - Spain Remote - Brazil Part Time Senior

US$65 - US$65 Hourly

Published on September 17, 2026

Anyone AI anyoneai.com

At Anyone AI, we invest in software developers from LATAM to address the AI talent shortage.

Anyone AI was founded by AI experts and 'second-time entrepreneurs,' members of the founding team of Deep Vision AI (acquired in 2020),

where they worked with Fortune 500 companies like Nvidia, Intel, AWS, Dell, Cadence, Cox Automotive, FLIR, Mercado Libre, etc., completing multiple AI projects and connecting the best LATAM talent with their clients.

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. link-tracker#track" rel="nofollow" href="https://jobs.ashbyhq.com/anyone-ai/826400d4-7fc6-437e-ba61-eb1656aa4aed/application?ref=jobsinpython.com&referer;=jobsinpython.com&referrer;=jobsinpython.com&source;=jobsinpython.com&utm;_medium=jobsinpython.com&utm;_source=jobsinpython.com">Apply For This Job

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Anyone AI anyoneai.com

At Anyone AI, we invest in software developers from LATAM to address the AI talent shortage.

Anyone AI was founded by AI experts and 'second-time entrepreneurs,' members of the founding team of Deep Vision AI (acquired in 2020),

where they worked with Fortune 500 companies like Nvidia, Intel, AWS, Dell, Cadence, Cox Automotive, FLIR, Mercado Libre, etc., completing multiple AI projects and connecting the best LATAM talent with their clients.





link-tracker#track" rel="nofollow" href="https://jobs.ashbyhq.com/anyone-ai/826400d4-7fc6-437e-ba61-eb1656aa4aed/application?ref=jobsinpython.com&referer;=jobsinpython.com&referrer;=jobsinpython.com&source;=jobsinpython.com&utm;_medium=jobsinpython.com&utm;_source=jobsinpython.com">Apply For This Job

Skill Stack

- Git
- Python
- Flask
- Reinforcement Learning
- Django
- scikit-learn
- Machine Learning
- AI
- Matplotlib
- Docker

Salary $65 Hourly

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Senior Software Engineer – Open Source & SWE-Bench Evaluation

Remote - Argentina Remote - Uruguay Remote - Chile Remote - Ecuador Remote - Portugal Remote - Mexico Remote - Colombia Remote - Spain Remote - Brazil Part Time Senior

US$65 - US$65 Hourly

Published on September 17, 2026

Anyone AI anyoneai.com

At Anyone AI, we invest in software developers from LATAM to address the AI talent shortage.

Anyone AI was founded by AI experts and 'second-time entrepreneurs,' members of the founding team of Deep Vision AI (acquired in 2020),

where they worked with Fortune 500 companies like Nvidia, Intel, AWS, Dell, Cadence, Cox Automotive, FLIR, Mercado Libre, etc., completing multiple AI projects and connecting the best LATAM talent with their clients.

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.



link-tracker#track" rel="nofollow" href="https://jobs.ashbyhq.com/anyone-ai/826400d4-7fc6-437e-ba61-eb1656aa4aed/application?ref=jobsinpython.com&referer;=jobsinpython.com&referrer;=jobsinpython.com&source;=jobsinpython.com&utm;_medium=jobsinpython.com&utm;_source=jobsinpython.com">Apply For This Job

Previous

All Jobs

Next

At Anyone AI, we invest in software developers from LATAM to address the AI talent shortage.

Anyone AI was founded by AI experts and 'second-time entrepreneurs,' members of the founding team of Deep Vision AI (acquired in 2020),

where they worked with Fortune 500 companies like Nvidia, Intel, AWS, Dell, Cadence, Cox Automotive, FLIR, Mercado Libre, etc., completing multiple AI projects and connecting the best LATAM talent with their clients.

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. At Anyone AI, we invest in software developers from LATAM to address the AI talent shortage.

Anyone AI was founded by AI experts and 'second-time entrepreneurs,' members of the founding team of Deep Vision AI (acquired in 2020),

where they worked with Fortune 500 companies like Nvidia, Intel, AWS, Dell, Cadence, Cox Automotive, FLIR, Mercado Libre, etc., completing multiple AI projects and connecting the best LATAM talent with their clients.

Skill Stack

- Git
- Python
- Flask
- Reinforcement Learning
- Django
- scikit-learn
- Machine Learning
- AI
- Matplotlib
- Docker

Salary $65 Hourly

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Vectoral US

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- Founding Member of The Technical Staff

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- Staff Product Security Engineer

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📌 Senior Software Engineer – Open Source & SWE-Bench Evaluation (Argentina)
🏢 JobsInPython
📍 Argentina