Our Client, 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 - We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. Please follow the steps to apply, by clicking on the application link - https://tinyurl.com/36dsys8p Please note, you will not be awarded thix project on freelancer if you have not reached acceptance levels with Mercor.