Open Source Software Engineer for AI Model Training
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Job description
- Contribute production-quality code, reviews, and documentation to open-source repositories relevant to the project.
- Design, implement, and optimize complex algorithms and system components using languages such as C++, Python, JAVA, GoLang, Typescript, or Rust.
- Identify and resolve technical challenges, bugs, and performance bottlenecks in existing codebases.
- Collaborate with other contributors and stakeholders to align deliverables with project goals and best practices.
- Create, maintain, and enhance technical documentation to support knowledge sharing and onboarding.
- Participate in code discussions and provide constructive feedback to elevate overall code quality., Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in usin…
- 1 day ago, Lead AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machi…
- 1 day ago
Requirements
- Clear open source contributions and profiles on platforms like GitHub or GitLab, preferably showcasing work in C++, Python, JAVA, GoLang, Typescript, or Rust.
- Previous experience working on large-scale, distributed codebases.
- Familiarity with modern AI or machine learning systems is a plus but not required.
- Background in participating in rigorous code reviews and contributing to the development of software best practices.
Benefits & conditions
This is a contractor position with remote work flexibility. Experts are expected to submit a minimum number of tasks per week. Compensation Compensation is output-based, ranging from $50 to $100 per hour, depending on the task completion that meets project specifications. The time required to complete work may vary based on the expert’s experience and workflow. Eligibility We typically fill roles within 48 hours and seek experts ready to start immediately. Selected candidates are expected to begin their first tasks within 24, 48 hours of completing onboarding.
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