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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.
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Analyze and resolve software issues drawn from large open-source codebases
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Write, test, and validate code solutions that address specific bugs or system inefficiencies
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Implement and refine APIs, database structures, and backend components supporting AI workflows
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Configure local development environments to replicate and investigate complex issues
Qualifications
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1+ years of professional software engineering experience in a fast-paced or technically demanding environment
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Proven contribution history to one or more of the following open-source repositories is a must:
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astropy/astropy
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django/django
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matplotlib/matplotlib
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pytest-dev/pytest
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scikit-learn/scikit-learn
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sphinx-doc/sphinx
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sympy/sympy
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Advanced proficiency in Python, API development, and structured testing
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Excellent analytical, written, and communication skills
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Exceptional attention to detail and persistence in debugging complex systems
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Residency in one of the following regions: United States, United Kingdom, Canada, Australia, or New Zealand.
Requirements
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Fully remote and asynchronous — complete work on your own schedule
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Expected workload: 10–20 hours per week, with flexibility to scale up to 40 hours
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Duration: open-ended engagement with potential for long-term collaboration
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Project start date: mid to late October (applications reviewed on a rolling basis)
Compensation & Contract Terms
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Independent contractor engagement through Mercor
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Hourly compensation, paid weekly via Stripe Connect
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Payments based on services rendered; contractors maintain full control over their work schedule and methods
Application Process
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Submit your resume and include links to your GitHub profile and relevant repository contributions
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Applications reviewed continuously; shortlisted professionals will be contacted for next steps
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Typical response time: within one week of submission
