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Software Engineer – Code Review & AI Training (Remote, USD)

Braintrust

Greater Belo Horizonte 2026-02-19

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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 QualificationsProfessional Experience: 2+ years of professional Software Engineering experience.Language Skills: Professional proficiency in English (written and reading) is re…

Job description

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 QualificationsProfessional 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 QualificationsBachelor’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 OnOur 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.

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