Software Engineer

As an expert you will be creating Reinforcement Learning Environments which test and AI model’s ability to solve complex software engineering problems related to fixing code, creating features, refactoring code and optimizing performance. You will be tasked with creating a reproducible environment and golden reference solution for the problem. Scope of Work

1. On this project, you will create realistic, interesting, and extremely challenging coding tasks for frontier AI models using your favourite repositories!
2. You will design problems that require strong software engineering skills, such as tracking down subtle bugs, building non-trivial features, or improving performance.
3. For each task, you will define the problem, build a reproducible environment, and write deterministic verifiers that accept correct solutions across different valid implementations while rejecting incorrect, incomplete, or hard-coded approaches. You will also provide a reference solution showing how the task can be solved.

1. Significant hands-on expertise in at least one of the following: Python3, Java, Rust, Go, C++, or TypeScript.
2. Deep understanding of algorithms, data structures, and software engineering principles.
3. Proven ability to debug complex systems, resolve bugs, and deliver effective optimizations.
4. Experience with large codebase refactoring and legacy system modernization.
5. Track record of delivering high-impact features from conception through delivery within cross-functional projects.
6. Strong documentation and communication skills to articulate technical concepts clearly.
7. Interest in or curiosity about AI and its technical challenges (previous AI experience not required). Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the experts experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.

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