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Freelance App Developer - AI Trainer

DataAnnotation

full-remotemidfreelancefullstackother Arizona, United States Today via LinkedIn
Up to 72,000 USD/annual

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Tags

KotlinAndroid DevelopmentAI TrainingCode ReviewJavaScriptTypeScriptPythonReactData AnalysisRemote Work

About the role

Role Overview

Freelance App Developer – AI Trainer with DataAnnotation. You’ll help advance AI development by designing and evaluating code used to train AI systems, while working remotely and setting your own schedule.

Responsibilities

  • Design and solve diverse coding problems used to train AI systems, with an emphasis on Android development
  • Write clear, high-quality code snippets and detailed explanations
  • Evaluate AI-generated code for accuracy, performance, and clarity
  • Provide feedback that helps shape the next generation of AI models

Requirements

  • Native or bilingual English proficiency
  • Excellent writing and grammar skills
  • Bachelor’s degree completed or in progress
  • Preferred: prior experience as a Software Developer / Software Engineer / Programmer

Preferred Skills

  • Kotlin experience
  • Proficiency in at least one of: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Swift

Compensation & Logistics

  • Fully remote within eligible countries: US, Canada, UK, Ireland, Australia, New Zealand
  • Flexible schedule: choose projects and when you work
  • Hourly pay up to $60 USD/hour, with potential for higher-paying projects based on performance
  • Paid via PayPal; no fees requested from candidates

Hiring Process

  • Create an account and complete a short paid assessment (acts as the interview). Successful candidates receive confirmation and can access paid work.

About DataAnnotation

DataAnnotation is a technology platform and community that connects programmers with paid tasks to build and improve real-world AI systems. The company operates across multiple engineering disciplines and works with state-of-the-art AI models, emphasizing training, coding tasks, and feedback that directly improves intelligent systems.

Scraped 4/4/2026

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