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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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