Note: The job is a remote job and is open to candidates in USA. DataAnnotation is a company focused on developing cutting-edge AI systems while offering the flexibility of remote work. They are seeking a Manual QA Engineer - AI Trainer to design and solve coding problems for AI training, ensuring high-quality code and providing feedback for AI model improvements.
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
Skills
- Fluency in English (native or bilingual level)
- Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift
- Excellent writing and grammar skills
- A bachelor's degree (completed or in progress)
- Preferred experience in Kotlin
- Previous experience as a Software Developer, Coder, Software Engineer, or Programmer
Benefits
- Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
- Flexible schedule: choose which projects you take on and when you work.
- Competitive pay: projects are paid hourly, up to $60 USD/hour.
- Opportunities for higher-paying projects are available with strong performance.
- Impact: help shape the future of AI technologies.
Company Overview
Welcome to DataAnnotation! We pay smart folks to train AI. It was founded in undefined, and is headquartered in New York, New York, USA, with a workforce of 5001-10000 employees. Its website is https://dataannotation.tech.