Manual QA Engineer - AI Trainer
DataAnnotation
full-remotemidcontractqabackend Minnesota, United States 6 days ago via LinkedIn
Up to 72,000 USD/annual
See how well this job matches your profile
Sign up to get an AI match score and generate a tailored application in seconds.
Get your match scoreTags
KotlinAndroid DevelopmentJavaScriptTypeScriptPythonReactCode ReviewAI TrainingWriting SkillsRemote Work
About the role
Role overview
Join DataAnnotation to help develop and improve cutting-edge AI systems through AI training tasks. This is a fully remote opportunity with flexible scheduling where you can choose projects and work based on your availability.
Responsibilities
- Design and solve 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 helps shape 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)
- Prefer experience as a Software Developer / Coder / Software Engineer / Programmer
Preferred skills
- Kotlin experience
- Proficiency in at least one of: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Swift
Work model & logistics
- Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand
- Flexible schedule: choose projects and when you work
- Paid hourly up to $60 USD/hour (higher-paying projects possible with strong performance)
- Payment via PayPal
Hiring process
- After signing up, complete a short assessment (acts as the interview). If you pass, you receive confirmation and paid work becomes available.
About DataAnnotation
DataAnnotation is a platform that coordinates a large community of software engineers and coders to contribute to real-world AI development. The company enables contributors to work on AI training and programming tasks through a flexible, remote platform where paid opportunities are made available after an assessment.
Scraped 4/10/2026