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Mobile Application Developer (Android)

DataAnnotation

full-remotemidcontractmobile Maine, United States Today via LinkedIn
Up to 72,000 USD/annual

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Tags

AndroidKotlinJavaScriptTypeScriptPythonReactMobile DevelopmentCode ReviewData AnalysisRemote Work

About the role

Role Overview

Mobile Application Developer (Android) to help advance AI development by building and evaluating programming solutions. This is a remote, project-based role with flexible scheduling.

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 provide detailed explanations
  • Evaluate AI-generated code for accuracy, performance, and clarity
  • Provide feedback that helps shape the next generation of AI models

Requirements

  • Fluency in English (native or bilingual)
  • Excellent writing and grammar skills
  • Bachelor’s degree (completed or in progress)
  • Preferred: Kotlin experience
  • Proficiency in at least one of: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Swift
  • Preferred: prior experience as a Software Developer / Engineer / Programmer

Compensation & Work Model

  • Fully remote (work from anywhere in the US, Canada, UK, Ireland, Australia, or New Zealand)
  • Flexible schedule: choose which projects to take on and when
  • Paid hourly via PayPal: up to $60 USD/hour (higher-paying projects possible with strong performance)

Hiring Process

  • Create an account and complete a short assessment (serves as an interview)
  • If you pass, you’ll receive an email confirmation and paid work becomes available via the platform

About DataAnnotation

DataAnnotation is a technology platform that enables a large community of professional engineers to work on programming tasks that support and refine AI systems. The work spans multiple engineering specializations, with a strong focus on developing and evaluating code generated for real-world AI training needs. The company operates a flexible, project-based remote model.

Scraped 4/8/2026

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