Software Engineers: Paid Code Review for AI Agent Evaluation
Terac · 100% remote · Contract · Posted
- Pay
- $65/hr
- Location
- Worldwide
- Languages
- English
- Hours
- Flexible
- Openings
- Not listed
- Level
- Experienced
Summary
Review coding tasks and evaluation harnesses for AI agent benchmarks, verify their logic and structure, and provide technical feedback through guided conversation and screen-sharing.
What you'll do
- Review coding tasks and evaluation harnesses.
- Assess whether challenges reflect real-world software engineering problems.
- Verify logic, test cases, and overall structure of the environments.
- Provide technical feedback through guided conversation and screen-sharing.
Requirements
- Be a practicing software engineer.
- Have strong background in building and testing complex systems.
- Have direct experience writing test suites, evaluation harnesses, or comprehensive code reviews.
Skills
- Software Engineering
- Test Suites
- Evaluation Harnesses
- Code Review
- Backend Development
- Full-Stack Development
- Machine Learning
- Software Architecture
Full description
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.
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