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.
How It Works
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.
Who This Is For
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.
What You'll Do
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Review realistic programming tasks designed for AI evaluation
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Assess the accuracy and structure of various evaluation harnesses
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Walk us through your thought process while checking code validity
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Provide actionable feedback on how to improve task complexity and realism
Who Should Apply
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Professional experience as a software engineer or developer
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Located in Brazil or Argentina
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Familiarity with building or verifying coding tasks and test environments
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Comfortable discussing technical architectures and evaluation frameworks
Compensation
$40 per hour
Ready to participate?
Start your paid interview now
About Terac
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.
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