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Open nowPosted 44 hours ago

Senior Software Engineer – Open Source & SWE-Bench Evaluation

Anyone AI199 open roles

Pay
$65 an hour
Where
Argentina - Fully Remote
Work mode
Remote
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Your applicationOpen nowSenior Software Engineer – Open Source & SWE-Bench EvaluationAnyone AI · Argentina - Fully Remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Anyone AI's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.5% of postings close within 7 days. Measured by our own scanner across the market. Anyone AI postings stay open a median of 13 days.

Share of postings closed within
  1. 1.8%1 day
  2. 4.0%3 days
  3. 8.5%7 days
  4. 15.4%14 days
  5. 34.1%30 days
This job: posted 44 hours ago

Anyone AI median: 13 days open

The posting

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.

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  2. 25 readers review it

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    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Anyone AI's form

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    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

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  5. Reply with AI

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  6. The interview in your calendar

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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