Software Engineer (Mobile Focus)
DataAnnotation
full-remotemidcontractmobile California, United States 5 days ago via LinkedIn
60 - 60 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 ReviewTechnical WritingAI Code EvaluationRemote WorkPayPal
About the role
Role Overview
Software Engineer (Mobile Focus) contributing to the development of AI systems through programming tasks. Work is paid and delivered via the DataAnnotation platform, with flexibility to choose projects and schedules.
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 helps shape the next generation of AI models
Requirements
- Native or bilingual English fluency
- Excellent writing and grammar skills
- Bachelor’s degree completed or in progress
- Preferred: previous experience as a Software Developer / Coder / Software Engineer / Programmer
Preferred Qualifications
- Experience with Kotlin
- Proficiency in at least one of: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Swift
Engagement & Access
- After signing up, complete a short assessment (acts like an interview)
- If you pass, paid work becomes available through the platform
Compensation & Benefits
- Fully remote: available in the US, Canada, UK, Ireland, Australia, and New Zealand
- Flexible schedule: choose which projects and when you work
- Pay is hourly via PayPal, up to $60 USD/hour
- Higher-paying projects may be available based on performance
About DataAnnotation
DataAnnotation is an AI-focused technology company building and advancing AI systems through a platform that connects a large community of professional coders and engineers. The company leverages real-world coding tasks and evaluations to refine intelligent systems that learn and evolve.
Scraped 4/1/2026