WHAT WE'RE RESEARCHING
We're running a paid study on the coding environments and programming tasks used to benchmark artificial intelligence agents. Creating robust evaluation harnesses ensures that AI models are tested against realistic software engineering scenarios. This work directly feeds into improving how autonomous agents handle complex coding objectives.
HOW IT WORKS
During this remote session, you will review a series of coding tasks and their corresponding evaluation harnesses. You will assess whether the programming challenges accurately reflect real-world software engineering problems. We will ask you to verify the logic, test cases, and overall structure of the environments provided. Your technical feedback will be captured through a guided conversation and screen-sharing exercises.
WHO THIS IS FOR
We are looking for practicing software engineers with strong backgrounds in building and testing complex systems. Candidates should have direct experience writing test suites, evaluation harnesses, or comprehensive code reviews. We welcome backend engineers, full-stack developers, machine learning engineers, and software architects.
WHAT YOU'LL DO
- Review realistic programming tasks for accuracy and difficulty
- Verify the logic and test cases within provided evaluation harnesses
- Assess whether coding environments effectively measure software engineering skills
- Walk us through your thought process while analyzing complex code structures