Software Engineers: Paid Code Review for AI Agent Evaluation
- Salary
- $65 per hour
- Level
- Mid
- Work type
- Remote · US only
Not stated in the posting: visa.
Open. First seen 2 October 2026.
About the role
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.
What You'll Do
- 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
Who Should Apply
- 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
Compensation
$65 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.
Terac's standard text
Learn more at terac.com or on YouTube at @jointerac.
What this role asks for
Particular to this role
Machine Learning
Rare in Terac's other 24 open postings.
97% of this description is written for the role. The rest is Terac's standard text, folded away below.
Compared with Terac's other open jobs.
The team: Participant Recruitment HIRES STEADILY
This role is one of 24 open in Participant Recruitment. 15 were posted in the last 30 days and the oldest in August: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Machine Learning (3 of 24), React (3 of 24), Prompt Engineering (2 of 24), Test Automation (2 of 24)
OTHER ROLES ON THIS TEAM
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- Pharmacists: Paid Expert Review for Clinical AI Benchmarks posted Oct 23
- Radiology Residents: Medical Image Evaluation for AI Benchmarks posted Oct 23
- Radiology Residents: Medical Image Evaluation for AI Benchmarks posted Oct 22
- Radiologists: Medical Image Review for AI Benchmarks posted Oct 22
- Radiologists: Medical Image Review for AI Benchmarks posted Oct 22
- Data Annotators: Paid Tasks for AI Model Training posted Oct 19
- Fintech Engineering Leaders: Interview on Card Issuing Platforms posted Oct 12
- IT and Business Managers: Paid Interview on Technology Operations posted Oct 8
- Healthcare Data Governance Leaders: Interview on AI Access and Compliance posted Oct 3
- UX and Product Leaders: Customer Research Workflows posted Oct 2
- South Asian Software Engineers: Coding Tasks for AI Evaluation posted Oct 1
- LATAM Software Engineers: Coding Tasks for AI Evaluation posted Oct 1
- Software Engineers: Paid Interview on AI Evaluation Tasks posted Sep 19
- Transaction Finance Professionals: AI Output Annotation and Ranking posted Sep 18
- Management Consultants: Paid AI Output Evaluation posted Sep 18
- Technical Recruiters: Interview on Full-Cycle Hiring Workflows posted Sep 7
- Machine Learning Engineers: Scenario Building for Reinforcement Learning posted Sep 3
- AI Evaluators: Assessing A Shopping Assistant posted Sep 2
- Professionals: Designing Challenging AI Prompts posted Aug 25
- Technical Accounting And FP&A Experts: AI Training Scenarios posted Aug 19
- Advanced STEM Experts (PhD Level): Scientific Reasoning For AI Training posted Aug 6
From the team and dates on Terac's own job board.
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