LATAM Software Engineers: Coding Tasks for AI Evaluation
- Level
- Mid
- Work type
- Remote · Argentina only
Not stated in the posting: salary, visa.
Open. First seen 2 October 2026.
About the role
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
- Review realistic programming tasks designed for AI evaluation
- Assess the accuracy and structure of various evaluation harnesses
- Walk us through your thought process while checking code validity
- Provide actionable feedback on how to improve task complexity and realism
Who Should Apply
- Professional experience as a software engineer or developer
- Located in Brazil or Argentina
- Familiarity with building or verifying coding tasks and test environments
- 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.
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Learn more at terac.com or on YouTube at @jointerac.
What this role asks for
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
- Technical Professionals: Evaluate Technical Presentation Decks posted Oct 24
- Business Professionals: Presentation Slide Deck Evaluation for AI Training posted Oct 23
- 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
- Software Engineers: Paid Code Review for AI Agent Evaluation posted Oct 2
- South Asian 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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