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iOS Software Engineer - AI Trainer

DataAnnotation

full-remotemidcontractmobileother Michigan, United States Today via LinkedIn
Up to 60 USD/daily

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Tags

iOSSwiftKotlinAI TrainingCode ReviewTypeScriptJavaScriptPythonReactRemote

About the role

Role overview

DataAnnotation is looking for an iOS Software Engineer – AI Trainer to help develop cutting-edge AI systems. You’ll contribute by designing and evaluating coding tasks used to train AI, working with modern AI models in a fully remote environment with a flexible 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 provide detailed explanations.
  • Evaluate AI-generated code for accuracy, performance, and clarity.
  • Provide feedback that directly influences the next generation of AI models.

Requirements

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

Hiring process

  • After creating an account, complete a short assessment.
  • If you pass, you’ll receive email confirmation and paid work becomes available through the platform.

Compensation & logistics

  • Fully remote with ability to work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
  • Hourly pay per project, up to $60 USD/hour (higher-paying projects possible with strong performance).
  • Payment is made via PayPal.

About DataAnnotation

DataAnnotation is a platform that connects a large community of programmers with opportunities to contribute to real-world AI development. The team works on training and improving AI systems through coding tasks, evaluation, and feedback, spanning many engineering disciplines. Their work focuses on building and refining intelligent systems that learn and evolve.

Scraped 4/4/2026

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