Manual QA Engineer - AI Trainer
DataAnnotation
full-remotemidcontractqabackend Alabama, United States 6 days ago via LinkedIn
Up to 72,000 USD/annual
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AndroidKotlinQACode ReviewAI TrainingJavaScriptTypeScriptPythonWriting SkillsPayPal
About the role
Role overview
Manual QA Engineer – AI Trainer (coding and QA for AI model training). You’ll help develop cutting-edge AI systems by solving and evaluating programming tasks, with an emphasis on Android development.
What you’ll do
- Design and solve coding problems used to train AI systems (Android-focused).
- Write clear, high-quality code snippets and provide detailed explanations.
- Evaluate AI-generated code for accuracy, performance, and clarity.
- Provide feedback that informs improvements to the next generation of AI models.
Requirements
- Fluency in English (native or bilingual).
- Strong writing and grammar skills.
- Bachelor’s degree completed or in progress.
- Preferably: experience as a Software Developer / Coder / Engineer / Programmer.
Preferred qualifications
- Kotlin experience.
- Proficiency in at least one of: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Swift.
Work model & compensation
- Fully remote with a flexible schedule (choose projects and when you work).
- Paid hourly per project, up to $60 USD/hour (higher-paying projects may be available with strong performance).
- Payments are made via PayPal.
Eligibility / location
- Work available only to people in: US, Canada, UK, Ireland, Australia, and New Zealand.
About DataAnnotation
DataAnnotation is a technology platform that builds and trains AI systems by connecting a large community of professional engineers with AI development work. The company operates an online marketplace where contributors complete coding and evaluation tasks that directly improve AI models.
Scraped 4/10/2026