React Native AI Code Reviewer

The work

You will review AI-generated React Native code, mobile app designs, and technical explanations. Your feedback will help assess whether solutions are correct, clear, secure, reliable, performant, and faithful to the prompt.

  • Review AI-generated React Native and TypeScript solutions for correctness and sound development practices.
  • Write reference implementations and step-by-step explanations for complex mobile engineering tasks.
  • Compare multiple AI responses and decide which solution is stronger.
  • Fact-check technical claims about React Native, TypeScript, mobile architecture, and platform behavior.
  • Find problems in React rendering, state, navigation, iOS and Android platform modules, offline behavior, performance, memory use, and release workflows.

What it pays and takes

This is a part-time contractor role for an intermediate-level React Native professional. You should be able to explain technical decisions clearly in English and debug mobile applications on both iOS and Android.

  • Pay: $60-$100 USD per hour.
  • Time: 20+ hours per week.
  • Location: Open to contractors based in Germany, India, or the United States.
  • Language: English.
  • Employment type: Contractor and part time.
  • Strong hands-on experience with React Native and modern React.
  • Deep proficiency in TypeScript and mobile app debugging on iOS and Android.
  • Familiarity with navigation, iOS and Android platform modules, performance tuning, testing, and basic CI/CD.
  • Helpful background: a bachelor's degree in computer science, software engineering, or a related field; production mobile app experience; and familiarity with Jest, React Native Testing Library, Detox, Appium, CocoaPods, and Gradle.
  • Prior AI training, annotation, or evaluation experience is helpful but not required.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training is the human work behind modern AI systems. Contributors review model answers, write better examples, and use their technical knowledge to show models how to produce more accurate and useful results.

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