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Software Developer (GitHub Contributor) — Remote AI Job | $80–$110/hr

Software Developer (GitHub Contributor) — Remote AI Job | $80–$110/hr

Remote AI Software Developer (Active GitHub Contributor)

Looking to turn your open-source passion into a high-paying remote job? Mercor is hiring experienced software engineers to support a leading AI lab developing next-generation machine learning systems. Earn $80–$110 per hour while solving real engineering problems and contributing to some of the world’s most popular open-source repositories — all from the comfort of your home.

About the Role

This is an independent contract role for developers who thrive on debugging, optimizing, and refining large-scale systems. You’ll collaborate asynchronously, working flexible hours on research-driven AI infrastructure projects.

Key Responsibilities

  • Analyze and resolve issues drawn from major open-source codebases.
  • Write, test, and validate code to address bugs or inefficiencies.
  • Develop APIs, database structures, and backend components supporting AI workflows.
  • Reproduce complex software issues within local environments for diagnosis and testing.

Ideal Qualifications

  • 1+ years of professional experience in a technically demanding role.
  • Active GitHub contributor to repositories such as django/django, pytest-dev/pytest, scikit-learn/scikit-learn, sympy/sympy, or similar.
  • Advanced proficiency in Python, API development, and testing frameworks.
  • Strong analytical, debugging, and communication skills.
  • Applicants must reside in the US, UK, Canada, Australia, or New Zealand.

Perks & Contract Terms

  • Fully remote — work from anywhere in your eligible region.
  • Flexible hours — 10–20 hrs/week, with potential to scale to 40.
  • Long-term collaboration opportunities.
  • Paid weekly via Stripe Connect.

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Who is this for?

Applicants applying for competitive funding, study visas, academic programs, research grants, or professional proposals needing expert-level positioning.

Project Start Date: Mid to late October 2025 (applications reviewed on a rolling basis).

Click here to apply →


Sample CV Template

John Doe john.doe@email.com | Remote – Open to US/UK/CA/AU/NZ Profile Summary Open-source Python developer with 2+ years of experience contributing to Django and Pytest repositories. Skilled in backend systems, debugging, and scalable API design. Skills Python | FastAPI | PostgreSQL | Unit Testing | Open-Source Collaboration | CI/CD Experience Freelance Developer – GitHub (2023–Present) • Contributed 40+ PRs to Django and Matplotlib. • Resolved critical memory issues and improved API response times by 30%. Education: BSc Computer Science | University of XYZ (2021)

Sample Cover Letter

Dear Mercor Team, I am excited to apply for the Software Developer (GitHub Contributor) role. My ongoing contributions to Django and Scikit-learn demonstrate my ability to work in collaborative, open-source environments. I enjoy troubleshooting complex backend systems and optimizing AI-related workflows. I’m confident that my skills in Python and API development align perfectly with Mercor’s focus on advancing AI research. Thank you for considering my application. Warm regards, John Doe

Sample Motivation Letter

To Whom It May Concern, My motivation for joining this project stems from my passion for contributing to global AI innovation through open-source systems. Working with Mercor means collaborating with exceptional engineers and continuously improving through real-world problem-solving. I see this as more than a job — it’s a chance to accelerate research that defines the next generation of machine learning technology.

Interview Preparation Guide

  • Possible Questions:
    • Tell us about your most impactful open-source contribution.
    • How do you debug a recurring issue across multiple environments?
    • Describe a challenging API integration you completed.
    • What’s your approach to writing clean, maintainable code?
    • How would you handle asynchronous collaboration in a remote AI team?
  • General Questions: Your strengths, weaknesses, teamwork examples, project ownership, and learning mindset.
  • Do’s: Showcase GitHub proof of work, mention documentation quality, emphasize testing discipline, and speak confidently about scalability.
  • Don’ts: Don’t over-promise timelines, avoid vague answers about repo familiarity, and never claim credit for unverified PRs.
  • Preparation Checklist: Update GitHub profile, clean up commits, rehearse tech stack overview, and test audio setup for virtual calls.
  • Pro Tips: Mention specific repositories you’ve studied, keep answers data-driven, and highlight measurable code impact.

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