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Manual QA Engineer - AI Trainer

DataAnnotation

full-remotemidcontractqabackend California, United States 151 days ago via LinkedIn
60,000 - 120,000 USD/annual

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Tags

KotlinAndroidJavaScriptTypeScriptPythonReactCode ReviewSoftware Quality AssuranceAI TrainingData Analysis

About the role

Role: Manual QA Engineer - AI Trainer

Contribute to the development of AI systems by designing, solving, and evaluating coding tasks used for AI training and improvement.

What you’ll do

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

What we’re looking for

  • 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 / Coder / Programmer.

Work style & compensation

  • Fully remote with a flexible schedule (choose projects and when you work).
  • Paid hourly per project, starting at $50–$100+/hr (higher rates possible with strong performance).
  • Payments made via PayPal.

Eligibility

  • Work is available only to residents of the US, Canada, UK, Ireland, Australia, and New Zealand.

About DataAnnotation

DataAnnotation is a large global community and platform that engages professional coders and engineers to help train and evaluate AI systems. It offers flexible, project-based work connecting skilled contributors with AI development tasks such as coding, code evaluation, and data analysis.

Scraped 4/28/2026