Mercor

Compensation

Full 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. Key Responsibilities • 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 Ideal 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. More About the Opportunity • 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 through Mercor • Hourly compensation, paid weekly via Stripe Connect • Payments based on services rendered; contractors maintain full control over their work schedule and methods Application Process • Submit your resume and include links to your GitHub profile and relevant repository contributions • Applications reviewed continuously; shortlisted professionals will be contacted for next steps • Typical response time: within one week of submission About Mercor • Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations • Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey • Thousands of professionals across domains like engineering, research, law, and creative services have partnered with Mercor on frontier AI projects