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Manual QA Engineer - AI Trainer

DataAnnotation

full-remotemidcontractqabackend Nevada, United States Today via LinkedIn
Up to 72,000 USD/annual

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Tags

KotlinAndroid DevelopmentJavaScriptTypeScriptPythonCode ReviewTest Case DesignAI TrainingData AnalysisTechnical Writing

About the role

Role overview

As a Manual QA Engineer – AI Trainer for DataAnnotation, you’ll help develop and refine AI systems by working on programming tasks and evaluating AI-generated code. The role emphasizes flexibility—you can choose projects and set your own schedule—and is fully remote for eligible countries.

Responsibilities

  • Design and solve diverse coding problems used to train AI systems, with an emphasis on Android development
  • Write clear, high-quality code snippets along with 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: experience as a Software Developer/Coder/Engineer/Programmer

Preferred / Nice to have

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

Logistics & compensation

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

About DataAnnotation

DataAnnotation is a tech company providing a platform that supports and coordinates a large community of engineers and programmers to train and improve AI systems. The work involves coding, evaluating AI-generated solutions, and synthesizing insights to help advance real-world AI development.

Scraped 4/4/2026

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