React Native AI Code Reviewer

About OpenTrain

OpenTrain is the #1 platform for building careers in AI training and data labeling. We help freelancers find and grow work teaching AI — build a profile, collect proof-of-work, and apply for roles that match your skills.

We focus on practical, paid tasks that directly shape how modern AI behaves. Contributors work remotely, often on part-time schedules, and can turn AI training into a long-term freelance career.

About AI Training Work

AI training is the human side of building intelligent systems: people annotate, evaluate, correct, and write examples so models learn useful, safe behavior. For code-focused roles, that means reviewing model outputs, writing reference solutions, and judging technical correctness and clarity.

This role sits at the intersection of mobile engineering and AI evaluation — you will help determine which AI-generated solutions are safe, performant, and production-ready.

The Role

OpenTrain AI is hiring a React Native AI Code Reviewer to evaluate AI-generated React Native code, mobile app architectures, and technical explanations. You will produce high-quality reference implementations and step-by-step reasoning for complex engineering problems.

This is a contractor, part-time role paying $100 USD per hour. Expect 20+ hours per week. Work is remote but restricted to the listed eligible countries; English fluency is required.

• Employment type: Contractor, Part-time
• Hours: 20+ hours/week
• Pay: $100 USD per hour
• Languages: English
• Eligible countries: BD, BT, BR, KH, DE, IN, ID, MY, NP, PK, SG, LK, TH, PH, US, TL, VN

What You'll Do

Evaluate AI model outputs and compare multiple responses to identify the strongest solution, focusing on correctness, clarity, security, performance, and reliability.

• Review AI-generated React Native solutions for correctness and best practices
• Write reference implementations and clear technical explanations for complex mobile engineering tasks
• Evaluate model answers for security, performance, reliability, and reasoning quality
• Fact-check technical claims related to React Native, TypeScript, mobile architecture, and platform-specific behavior
• Identify weaknesses in rendering, navigation, native modules, offline behavior, and release workflows

Required Skills

You must be able to assess real code, reproduce issues, and explain findings clearly in English. The role requires hands-on mobile debugging and strong TypeScript experience.

• 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, native modules, performance tuning, testing, and CI/CD basics
• Ability to write clear technical explanations in English
• Experience reviewing rendering, state, navigation, and native-module integration
• Ability to evaluate performance, reliability, and release issues in mobile apps
• Familiarity with AI-generated React Native code review

Helpful Background

The following are not required but will help you succeed and move faster in review tasks.

• Bachelor’s degree in Computer Science, Software Engineering, or a closely related field
• Experience building production mobile apps
• Familiarity with Jest, React Native Testing Library, Detox, Appium, CocoaPods, and Gradle
• Prior AI data training, annotation, or evaluation experience is a plus

How This Work Is Organized

On OpenTrain you will accept short to medium tasks that involve rating model responses and producing model-aligned reference solutions. Tasks may require running or reading apps, reproducing bugs, and writing step-by-step reasoning.

You will perform evaluation ratings and prompt-response writing (SFT-style) tasks that directly influence how AI systems are trained and judged. Work is remote and flexible within the listed hours; build your profile with completed work to qualify for more projects.

How To Apply

If you meet the requirements, apply through your OpenTrain profile. Include examples of React Native work and brief notes about debugging experience on both iOS and Android.

OpenTrain uses your profile and past task history to match you to evaluation projects, so providing clear evidence of hands-on mobile engineering will improve your chances.