Software Engineers: Paid Code Review for AI Agent Evaluation

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.

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.

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.

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

Active professional experience as a software engineer

Hands-on experience building or maintaining test suites and evaluation harnesses

Comfortable reviewing code and explaining technical concepts aloud

Familiarity with complex real-world software architecture

Start your paid interview now

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 .