Open Source Developer
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Location:
Remote — Worldwide About the Opportunity We’re seeking experienced software engineers and open-source contributors to create realistic coding challenges that help train next-generation AI systems. You’ll develop reproducible reinforcement learning environments that test AI models on bug fixing, feature implementation, code refactoring, and performance optimization. No prior AI experience is required.
Key Responsibilities
• Create challenging coding tasks based on realistic software engineering scenarios.
• Build reproducible reinforcement learning environments with golden reference solutions.
• Develop deterministic verifiers that accept valid solutions and reject incorrect ones.
• Debug complex software defects and optimize performance across diverse codebases.
• Implement scalable, maintainable features and refactor legacy code.
• Contribute code samples and technical insights using Python, Java, Rust, Go, C++, or TypeScript.
• Document technical reasoning and solution approaches.
• Review and validate code contributions for accuracy and quality. Required Qualifications
• Strong software engineering experience in at least one relevant language, such as Python, Java, Rust, Go, C++, or TypeScript.
• Experience building scalable services and APIs.
• Strong understanding of algorithms, data structures, and core computer science concepts.
• Proficiency in debugging, automated testing, and performance optimization.
• Experience with code review, bug fixing, and feature implementation.
• Clear technical communication and problem-solving skills.
• An open-source contribution history and a profile showcasing your work, preferably on GitHub, or willingness to complete a HackerRank assessment. Preferred Qualifications
• Experience refactoring large codebases and modernizing legacy systems.
• Proven ability to resolve complex bugs and system bottlenecks.
• Experience delivering high-impact features in cross-functional projects.
• Strong technical documentation skills.
• Interest in AI and its technical challenges. Compensation
• $50–$100 per hour.
• Approximately 15 hours per task run.
• 100 openings available.
• Worldwide remote contractor opportunity.
• Onboarding begins once selected. Application Process
• Apply and complete the screening questions.
• Complete an approximately 20-minute AI interview.
• Complete a technical assessment if your GitHub profile does not sufficiently demonstrate the required expertise.
• Await hiring manager review.
• Upon selection, receive onboarding instructions from Talent Operations. Important: Complete interviews and assessments independently, without AI assistants or help from others.
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