Manual QA Engineer - AI Trainer
DataAnnotation
full-remotemidcontractqaother Pennsylvania, 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 DevelopmentJavaScriptTypeScriptPythonCode ReviewAI Code EvaluationData AnalysisRemote WorkTechnical Writing
About the role
Role Overview
You’ll join DataAnnotation’s coding community to contribute to training and improving AI systems. The work is fully remote and project-based, with flexibility to choose which tasks you take on and when you work.
Responsibilities
- 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
- Evaluate AI-generated code for accuracy, performance, and clarity
- Provide feedback that helps shape future AI model outputs
Requirements
- Fluency in English (native or bilingual)
- Strong writing and grammar skills
- Bachelor’s degree (completed or in progress)
- Programming proficiency in at least one of: JavaScript, TypeScript, Python, C, C++, C#, React, Go, Java, Swift
- Preferred: Kotlin experience
- Preferred: prior experience as a Software Developer/Engineer, Coder, or Programmer
Location / Eligibility
- Work available only to people located in: US, Canada, UK, Ireland, Australia, and New Zealand.
Compensation & Logistics
- Paid hourly for projects, up to $60 USD/hour
- Higher-paying projects may be available with strong performance
- Payments are made via PayPal; no fees are charged to contributors
About DataAnnotation
DataAnnotation is an AI-focused platform that engages a large community of engineers and coders to help develop and refine AI systems through real-world programming and evaluation tasks. The company operates a flexible, project-based model for contributors across software engineering and related specialties.
Scraped 4/10/2026