Outlier · via Braintrustnew this weekRemote Software Engineer (AI Code Evaluation)
Good fit for: software engineers, developers, and programmers.
Listing verified on the platform’s official board. Last checked September 25, 2026.
This is a flexible opportunity to earn in USD while contributing to the development of next-generation AI models. We are looking for Software Engineers across Latin America to help evaluate and improve code generated by Artificial Intelligence.
Location: Remote (Latin America) - Open to candidates in Argentina, Brazil, Chile, Colombia, Costa Rica, Dominica, Mexico, Peru, Puerto Rico, and other LATAM countries.
Pay Rate: $15.00 – $32.00 USD per hour (Rates vary by location and quality of work).
Contract Type: Freelance / Flexible
Why Join?
- Flexible Schedule: Work as much or as little as you choose. 20+ hours/week is suggested to see significant returns, but you set your own availability.
- Remote & USD Pay: Earn a competitive hourly rate in US Dollars from the comfort of your home.
- Cutting-Edge Work: Use your domain expertise to train LLMs (Large Language Models) to write better, safer, and more efficient code.
Required Qualifications
- Professional Experience: 4+ years of professional Software Engineering experience.
- Language Skills: Professional proficiency in English (written and reading) is required.
- Technical Skills: Proficiency in at least one major programming language (Python, Java, JavaScript, C++, etc.) and a solid understanding of computer science fundamentals.
- Code Review Skills: The ability to describe, evaluate, and critique code logic and syntax in clear English.
Preferred Qualifications
- Bachelor’s degree in Computer Science (or equivalent professional experience—we are flexible on education if you have the skills).
- Experience with broadly used frameworks and libraries.
What You’ll Be Working On
Our client has partnered with organizations to train AI large language models. You will be acting as a subject matter expert to ensure the AI creates high-quality code.
Example projects include:
- Evaluating Code Quality: Reviewing AI-generated code snippets for accuracy, efficiency, and safety.
- Problem Solving: Solving coding problems to provide "ground truth" answers for the AI to learn from.
- Optimization: Refactoring code to improve performance and scalability.
- Test Cases: Writing robust test cases to verify that code functions as intended.
- Documentation: Writing human-readable explanations (in English) of how a piece of code works and why a specific solution is better.
💡 No previous experience with AI necessary!
You do not need to be an AI/ML expert. We need your coding expertise. You will receive detailed instructions and guidelines upon starting.
Application Process:1. Apply: Apply for the job
2. Assessment: After applying, you can expect to receive further instructions via email within 2 business days with details on how to log into the work and complete your assessment. It is very important to complete it at your earliest convenience.3. Start working: Once you pass the assessment satisfactorily, you'll get access to the work queue.