Terac is an AI‑native research platform that sources participants, conducts human‑like interviews at scale, analyzes results, and pays out participants - delivering actionable insights in hours, not weeks. Backed by Emergence Capital.
About the role
Review and assess the quality of realistic programming tasks Evaluate coding environments and technical harnesses for AI testing
More about this role
We're running a paid study on the quality and realism of coding environments designed to test AI agents. We are developing a comprehensive suite of programming tasks and evaluation harnesses to measure AI performance accurately. Your feedback directly shapes how these agents are benchmarked against real-world engineering standards.
During this remote session, you will review several programming tasks and their corresponding evaluation harnesses. You will assess the technical accuracy, complexity, and realism of each coding challenge. We will ask you to walk through the logic of the evaluation environments and identify any potential flaws. Finally, you will provide feedback on how these environments compare to standard industry practices.
We are looking for software engineers who have hands-on experience building, reviewing, or testing realistic programming tasks. We welcome full-stack developers, backend engineers, test automation engineers, and systems architects who are familiar with evaluation harnesses. Ideal candidates understand what makes a coding challenge robust, verifiable, and technically sound.
Review and assess the quality of realistic programming tasks
Evaluate...
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