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Manual QA Engineer - AI Trainer

DataAnnotation

full-remotemidcontractqaother Pennsylvania, United States 6 days ago via LinkedIn
Up to 72,000 USD/annual

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Tags

KotlinAndroid DevelopmentJavaScriptTypeScriptPythonCode ReviewAI Code EvaluationData AnalysisRemote WorkTechnical Writing

About the role

Role Overview

You’ll join DataAnnotation’s coding community to contribute to training and improving AI systems. The work is fully remote and project-based, with flexibility to choose which tasks you take on and when you work.

Responsibilities

  • 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
  • Evaluate AI-generated code for accuracy, performance, and clarity
  • Provide feedback that helps shape future AI model outputs

Requirements

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

Location / Eligibility

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

Compensation & Logistics

  • Paid hourly for projects, up to $60 USD/hour
  • Higher-paying projects may be available with strong performance
  • Payments are made via PayPal; no fees are charged to contributors

About DataAnnotation

DataAnnotation is an AI-focused platform that engages a large community of engineers and coders to help develop and refine AI systems through real-world programming and evaluation tasks. The company operates a flexible, project-based model for contributors across software engineering and related specialties.

Scraped 4/10/2026

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