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Terac is conducting a paid study to evaluate coding tasks used for AI agent evaluation. Our team is building a suite of programming environments to test complex software capabilities and ensure frameworks are realistic, accurate, and well calibrated.
We are seeking software engineers in the United States with experience building, reviewing, or testing evaluation harnesses and coding tasks. Candidates should be comfortable discussing technical architectures and providing actionable feedback on
WHAT WE'RE RESEARCHING
We're running a paid study on the effectiveness of coding tasks used to evaluate AI agents. Our team is building a comprehensive suite of programming environments designed to test complex software capabilities. We want to ensure these evaluation frameworks are realistic, accurate, and properly calibrated.
You will review a series of proposed coding tasks and assess their suitability for testing AI agents. We will ask you to verify the logic of the evaluation harnesses and provide feedback on their realistic application. You will share your screen to walk through the environments and point out potential flaws or improvements. The session involves a mix of code review, technical discussion, and direct feedback on the task structures.
We are looking for software engineers based in Brazil and Argentina with strong technical backgrounds. You should have direct experience building, reviewing, or testing evaluation harnesses and programming tasks. We welcome backend developers, full-stack engineers, and quality assurance automation specialists.
$40 per hour
Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.
Learn more at terac.com or on YouTube at @jointerac https://www.youtube.com/@jointerac.