xelys jobs xelys jobs

iOS Developer - AI Trainer

DataAnnotation

full-remotemidcontractmobile Ohio, United States Yesterday via LinkedIn
Commission-based

See how well this job matches your profile

Sign up to get an AI match score and generate a tailored application in seconds.

Get your match score

Tags

iOSAndroid DevelopmentSwiftKotlinJavaScriptTypeScriptPythonReactCode ReviewAI Training

About the role

Role Overview

As an iOS Developer – AI Trainer, you’ll contribute to developing cutting-edge AI systems by completing and evaluating programming work on the DataAnnotation platform. The role is designed for fully remote work with a flexible schedule, allowing you to choose projects that match your availability.

Responsibilities

  • Design and solve coding problems used to train AI systems (with 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 directly informs improvements to next-generation AI models

Requirements

  • Fluency in English (native or bilingual)
  • Excellent writing and grammar skills
  • Bachelor’s degree (completed or in progress)
  • Ability to create and explain programming solutions with high clarity

Preferred / Nice-to-Haves

  • Kotlin experience
  • Proficiency in at least one of: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Swift
  • Prior experience as a Software Developer / Software Engineer / Programmer

Pay & Working Model

  • Fully remote and flexible scheduling; projects are paid hourly
  • Pay starts at $50–$100+/hr (higher-paying projects with strong performance)
  • Payments are processed via PayPal

Eligibility / Location

  • Work is available only to people located in: US, Canada, UK, Ireland, Australia, and New Zealand

About DataAnnotation

DataAnnotation is a platform that connects a large community of engineers and professionals with paid programming and AI-related work. The company focuses on training and improving AI systems by having contributors complete coding tasks, evaluate AI-generated code, and provide feedback that refines model performance. Its engineering talent spans front-end, back-end, full-stack, and machine learning disciplines.

Scraped 5/17/2026

xelys jobs xelys jobs

Built for remote job seekers. Powered by AI.