No Commute

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Mercor is seeking experienced software engineers to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems. This engagement focuses on diagnosing and solving real issues derived from major open-source repositories through hands-on coding, debugging, and validation. It’s an opportunity to contribute your technical expertise to cutting-edge AI research while working independently and remotely on your own schedule. Analyze and resolve software issues drawn from large open-source codebases Write, test, and validate code solutions that address specific bugs or system inefficiencies Implement and refine APIs, database structures, and backend components supporting AI workflows Configure local development environments to replicate and investigate complex issues Qualifications 1+ years of professional software engineering experience in a fast-paced or technically demanding environment Proven contribution history to one or more of the following open-source repositories is a must: astropy/astropy django/django matplotlib/matplotlib pytest-dev/pytest scikit-learn/scikit-learn sphinx-doc/sphinx sympy/sympy Advanced proficiency in Python, API development, and structured testing Excellent analytical, written, and communication skills Exceptional attention to detail and persistence in debugging complex systems Residency in one of the following regions: United States, United Kingdom, Canada, Australia, or New Zealand. Requirements Fully remote and asynchronous — complete work on your own schedule Expected workload: 10–20 hours per week, with flexibility to scale up to 40 hours Duration: open-ended engagement with potential for long-term collaboration Project start date: mid to late October (applications reviewed on a rolling basis) Compensation & Contract Terms Independent contractor engagement t