Frontend Engineer - AI Trainer
DataAnnotation
full-remotemidcontractfrontendother Nevada, United States Yesterday via LinkedIn
Up to 72,000 USD/annual
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KotlinAndroidJavaScriptTypeScriptPythonReactCode EvaluationAI TrainingTechnical WritingRemote
About the role
Role overview
Frontend Engineer - AI Trainer at DataAnnotation. You’ll help train AI systems by designing and evaluating code, writing clear solutions, and providing feedback that improves future AI model outputs. The work is fully remote with a flexible schedule.
Responsibilities
- Design and solve diverse coding problems used to train AI systems, with an emphasis on Android development
- Write clear, high-quality code snippets and detailed explanations
- Evaluate AI-generated code for accuracy, performance, and clarity
- Provide feedback that directly shapes 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: prior experience as a Software Developer/Coder/Software Engineer/Programmer
Preferred qualifications
- Kotlin experience
- Proficiency in at least one of: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Swift
Schedule, pay, and logistics
- Fully remote (work from anywhere in the US, Canada, UK, Ireland, Australia, or 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)
- Payment via PayPal
Hiring process
- After signing up, complete a short assessment (serves as an interview)
- If you pass, you’ll receive email confirmation and paid work becomes available through the platform
About DataAnnotation
DataAnnotation is a technology platform that coordinates paid programming work to help train and improve AI systems. It brings together a large global community of engineers across front-end, back-end, full-stack, and machine learning roles to deliver real-world impact through coding tasks, evaluation, and feedback.
Scraped 4/5/2026