Software Engineer – Code Review
hace 2 semanas
Job Description 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: 2+ 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 Apply: Apply for the job 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. Start working: Once you pass the assessment satisfactorily, you'll get access to the work queue. #J-18808-Ljbffr
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